{"id":"W6886910730","doi":"10.15454/hnxeod/iysn0y","title":"VR2W-129962.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":[0.005159738,0.001388906,0.001663028,0.0002865585,0.0001954241,0.000331321,0.01313999,0.002962293,0.003617861],"category_scores_gemma":[0.01330778,0.001459195,0.000223022,0.002396929,0.0003759225,0.001009797,0.004540708,0.008207075,0.398647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007887249,"about_ca_system_score_gemma":0.001298195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001645272,"about_ca_topic_score_gemma":0.000616098,"domain_scores_codex":[0.9900514,0.00263697,0.001168887,0.003369841,0.001458491,0.001314414],"domain_scores_gemma":[0.9835424,0.00173318,0.000927336,0.01293335,0.0002193851,0.000644325],"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":[0.00009005412,0.0002026651,0.000009185639,0.0006365581,0.0003073825,0.0002227526,0.00003872935,0.000002686515,0.0002006097,0.000005728028,0.9948201,0.003463539],"study_design_scores_gemma":[0.0007478024,0.00006282852,0.0000497221,0.0003983474,0.0004002658,0.0000431192,0.00002195273,0.0001806646,0.0001001011,0.0001478427,0.9963116,0.001535746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002618197,0.002273833,0.0001365837,0.0005612159,0.001195876,0.0009603471,0.9936823,0.0006439699,0.0005432906],"genre_scores_gemma":[5.600687e-7,0.003846251,0.009104523,0.002208097,0.002124466,0.0001091113,0.9808684,0.0004373673,0.001301222],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3950291,"threshold_uncertainty_score":0.9998862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.546973554562729,"score_gpt":0.455610842948894,"score_spread":0.09136271161383497,"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."}}