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Record W6930889470 · doi:10.5281/zenodo.15155066

TABLE 3 in Morphology of the larvae of Rhantaticus congestus (Klug, 1833) and phylogenetic comparison with other known Aciliini (Coleoptera: Dytiscidae: Dytiscinae)

2023· dataset· en· W6930889470 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typedataset
Languageen
FieldSocial Sciences
TopicInsurance, Mortality, Demography, Risk Management
Canadian institutionsLaurentian University
Fundersnot available
KeywordsCladisticsTable (database)Phylogenetic treeMorphology (biology)Larva

Abstract

fetched live from OpenAlex

TABLE 3. Data matrix used for the cladistic analysis. Missing data coded '?' Species0 00 10 20 30 40 50 60 70 80 91 01 11 21 31 41 51 61 71 81 92 02 12 22 32 42 52 62 72 82 93 03 13 23 33 43 53 63 73 83 94 04 14 24 34 44 54 64 74 84 95 05 15 25 35 45 55 65 75 85 96 06 16 26 36 46 56 66 76 86 97 07 17 27 37 47 57 67 77 87 98 08 18 28 38 48 58 68 78 88 99 09 19 29 3Notaticus fasciatus1111110000010000000111111101000101000001110000000000000001001000000100000000010100002010000000Eretes australis100?011110100000101100000010202001111100100111111111100110110001111101111111001010001001101100Hydaticus tuyuensis0001000001100001100100010001000101000001110000010000000130100001101001111000010101101000000000Acilius semisulcatus1000001101101110111000010010121010101110000101111011121120100011?11001111101111010100?00100110Acilius sinensis10000011011011001110000100101210101012100001011110111211201000?1111001111101111010100200100110Graphoderus liberus10000011000010000110000100101110111012100001011110102201101000111111011111011110101111001101??Graphoderus occidentalis1000001100001000011000010010111011101210000101111010220110100011111101?11101111010111?0011011?Rhantaticus congestus1?1?????0?0??0??111?000100101?2011102?100011???110??22?1101000??1110110???01?11010???100???1?1Sandracottus femoralis100000??011011001110000100101210111013100001011110112201101000?1111001111101111010201100100110Sandracottus mixtus100000??011011001110000100101210111013100001?11110112201101000?1111001111101111010201100100110Thermonectus alfredi1000001101101110111000010011210111021100001011110102101101001111110010111011110100011001001?0Thermonectus succinctus1000001101101100111000010010121011101110000101111010210110100111111001011101111010001100100100

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.635
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.034
GPT teacher head0.287
Teacher spread0.253 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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