{"id":"W6905692137","doi":"10.15454/hnxeod/dxry1s","title":"VR2AR-546358.txt","year":2020,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Ocean Tracking Network","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["metaresearch","metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0052288,0.001410962,0.001683859,0.0002869522,0.0001988568,0.0003380677,0.01323978,0.003066363,0.003659608],"category_scores_gemma":[0.0133232,0.001482682,0.0002271079,0.002469111,0.0003813301,0.001028223,0.00459019,0.008343031,0.397411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007837858,"about_ca_system_score_gemma":0.001283139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565396,"about_ca_topic_score_gemma":0.000586155,"domain_scores_codex":[0.9899028,0.002682044,0.001184849,0.003413592,0.001481292,0.001335422],"domain_scores_gemma":[0.9833798,0.001761544,0.0009407082,0.01303978,0.0002232451,0.0006548515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000950581,0.0001978707,0.000009604908,0.0006452033,0.000309212,0.0002261315,0.00003763664,0.000003067229,0.0002100656,0.000004762763,0.994386,0.003875344],"study_design_scores_gemma":[0.0007337082,0.00006448381,0.00005424985,0.0004017757,0.0004048164,0.00004255239,0.00002220957,0.0001900458,0.000103008,0.0001394382,0.9962833,0.001560446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002656658,0.002124311,0.0001546487,0.000564287,0.001212522,0.0009779625,0.9937459,0.0006560858,0.0005616294],"genre_scores_gemma":[5.718139e-7,0.003940349,0.009423578,0.002259781,0.002195002,0.0001150398,0.980292,0.000444383,0.00132935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3937514,"threshold_uncertainty_score":0.999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5534134553383777,"score_gpt":0.4553897591362248,"score_spread":0.0980236962021529,"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."}}