{"id":"W6886755190","doi":"10.15454/hnxeod/ucslap","title":"VR2AR-546377.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":[0.005209051,0.001409556,0.001679536,0.0002874936,0.0001987189,0.0003367897,0.01322648,0.003063981,0.00444948],"category_scores_gemma":[0.01339839,0.001481708,0.0002273231,0.002475345,0.0003800007,0.001026654,0.004590488,0.00832543,0.398307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007825315,"about_ca_system_score_gemma":0.001279922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160938,"about_ca_topic_score_gemma":0.0006027772,"domain_scores_codex":[0.9899219,0.002672775,0.001183261,0.003407468,0.001478088,0.001336569],"domain_scores_gemma":[0.9834071,0.001765446,0.0009392973,0.0130093,0.0002230445,0.0006558217],"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":[0.00009485002,0.0001940599,0.000009187144,0.0006374925,0.0003100463,0.0002277144,0.00003782038,0.000003014243,0.0002057234,0.000004864567,0.9949042,0.003371022],"study_design_scores_gemma":[0.0007331105,0.00006392541,0.00005107958,0.0004064207,0.0004059366,0.0000432899,0.00002247817,0.0001907722,0.000103759,0.0001413179,0.9962791,0.001558834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002391781,0.002090681,0.0001524739,0.0005585194,0.001224363,0.0009777509,0.9936634,0.0006549714,0.0006753963],"genre_scores_gemma":[4.721134e-7,0.003934507,0.009291955,0.00225526,0.00221007,0.0001130627,0.9800944,0.0004434964,0.001656759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3938575,"threshold_uncertainty_score":0.9998655,"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."}}