{"id":"W3114919860","doi":"10.20527/jiep.v1i2.1135","title":"FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN NELAYAN TANGKAP DI DESA TABANIO KECAMATAN TAKISUNG KABUPATEN TANAH LAUT","year":2019,"lang":"en","type":"article","venue":"JIEP Jurnal Ilmu Ekonomi dan Pembangunan","topic":"Agriculture and Agroindustry Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Depreciation (economics); Fishing; Opportunity cost; Operational costs; Agricultural science; Business; Operations management; Economics; Agricultural economics; Fishery; Economic growth; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004251137,0.0008050138,0.0009135553,0.00006143107,0.0008855687,0.0004189518,0.001154591,0.0004403359,0.0006657623],"category_scores_gemma":[0.0000698157,0.000339387,0.0005462409,0.0007212114,0.0001594134,0.0007744726,0.0004836126,0.0008804645,0.0004883494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002571814,"about_ca_system_score_gemma":0.00005228946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009715173,"about_ca_topic_score_gemma":0.001895963,"domain_scores_codex":[0.9959199,0.0002082271,0.0008468844,0.00112266,0.0006323137,0.001269962],"domain_scores_gemma":[0.9981987,0.0002675712,0.0004312929,0.0003309529,0.0002103191,0.0005611028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001854188,0.0003806899,0.7295218,0.00005715811,0.0003620558,0.000159723,0.000917762,0.00002273719,0.213837,0.001371489,0.01720271,0.03598151],"study_design_scores_gemma":[0.0006617596,0.0005670169,0.8480311,0.0001327673,0.000133179,0.0001032571,0.006722293,0.00005714693,0.004022297,0.00003644075,0.1384272,0.001105499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852353,0.0008901358,0.000002127749,0.001764808,0.0009239864,0.0007568788,0.0002848678,0.0002913732,0.009850495],"genre_scores_gemma":[0.9934597,0.0001209897,0.00004228285,0.0003928651,0.002425093,0.0000496778,0.0003857316,0.00001415691,0.003109475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2098147,"threshold_uncertainty_score":0.9999058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220555364872665,"score_gpt":0.1980009217918425,"score_spread":0.1857953681431158,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}