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Record W2116051873 · doi:10.35800/jip.2.3.2014.9123

KARAKTERISTIK MORFOMETRIK DAN FAKTOR KONDISI KERANG TOTOK (Polymesoda erosa) DI HUTAN MANGROVE DESA NUSAJAYA KECAMATAN WASLEI SELATAN KABUPATEN HALMAHERA TIMUR MALUKU UTARA

2015· article· en· W2116051873 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJURNAL ILMIAH PLATAX · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAquatic life and conservation
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysicsMangroveForestryAnimal scienceBiologyFisheryGeography

Abstract

fetched live from OpenAlex

Clam, Polymesoda erosa is species that live in sandy and muddy substrata of mangrove ecosystem. The aims of this study are to look at the relationship of the shell length and width,body thiekness, body weight and organ weight based on class size to determine the growth. The study also was designed to reveal the conditional factor based on the clam class size. The samples were collected during the day at lowest tide in January 2014. The total is 153 individuals of Polymesoda erosa clam were collected during the study. The result shows thare is a strong positive relationship between body lenght and body weight as shown within the regression analysis with intercept (a) = 0,470779, regression coefficient (b) = 0,69095 and correlation coefficient (r) = 0,406357. Based on the r value, it can be concluded that there is strong relationship regarding the length and weight increment as much as 40,63 %. Keywords : Characteristics Morphometrics and Shellfish totok condition factor Nort Maluku ABSTRAK . Kerang totok (Polymesoda erosa) adalah salah satu jenis moluska dalam kelas bivalvia yang hidup di ekosistem mangrove pada daerah yang bersubstrat pasir dan berlumpur. Penelitian ini bertujuan. mengetahui kisaran ukuran panjang cangkang,,lebar cangakang, tubuh, berat tubuh, dan berat organ lunak, selanjutnya mengetahui pertambahan panjang, lebar cangkang, tebal tubuh, berat tubuh, dan berat organ lunak berdasarkan kelas ukuran, dan juga mengetahui hubungan pertumbuhan panjang cangkang, dan berat cangkang, dan mengetahui faktor kondisi kerang di setiap kelas ukuran. Pengambilan sampel di lakukan pada siang hari saat surut terendah pada bulan januari 2014. Berdasarkan kegiatan penelitian di wilayah pesisir Desa Nusajaya Kecamatan Waslei Selatan Kabupaten Halmahera Timur Maluku Utara, dikumpulkani 153 individu kerang totok (Polymesoda erosa). Hasil analisis regresi menunjukkan bahwa setiap pertambahan panjang cangkang akan diikuti dengan pertambahan berat secara proporsional mengikuti nilai Intercept (a) = 0.470779, dan koefisien regresi (b) = 0,690957. Niilai koefisien korelasi (r) = 0. 406357 menyatakan adanya korelasi positif yang menerangkan terdapat keeratan hubungan antara pertambahan panjang cangkang dengan pertambahan berat berat tubuh sebesar 40.63 % Kata kunci :Karakteristik Morfometrik dan Faktor kondisi KerangTotok Maluku utara 1Bagian dari skripsi 2Mahasiswa Program Studi Manajemen Sumberdaya Perairan FPIK-UNSRAT 3Staf pengajar Fakultas Perikanan dan Ilmu Kelautan Universitas Sam Ratulangi

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.235
Teacher spread0.185 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it