{"id":"W6905510682","doi":"10.15454/hnxeod/y75foz","title":"VR2AR-546338.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":[0.005206334,0.001410427,0.001682906,0.0002869371,0.0001987142,0.0003379313,0.01324669,0.003063575,0.00365731],"category_scores_gemma":[0.01318105,0.001482134,0.0002268459,0.002468632,0.0003811494,0.001027433,0.004585399,0.008330204,0.3949709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007833948,"about_ca_system_score_gemma":0.001262693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001568323,"about_ca_topic_score_gemma":0.0005868626,"domain_scores_codex":[0.9899607,0.002628882,0.001184324,0.003412305,0.001479015,0.001334797],"domain_scores_gemma":[0.9834068,0.001736776,0.0009401925,0.01303864,0.0002228769,0.000654727],"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":[0.00009372582,0.000197792,0.00001014981,0.0006433258,0.0003090148,0.0002244918,0.00003770874,0.000003072387,0.0002050776,0.000004830721,0.994436,0.003834861],"study_design_scores_gemma":[0.0007311673,0.00006445237,0.00005693756,0.0004029218,0.0003996714,0.00004201235,0.00002316906,0.0001920185,0.0001026499,0.0001446069,0.9962806,0.001559783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002702387,0.002108953,0.000155334,0.00055812,0.001210273,0.0009644378,0.9937791,0.0006552427,0.0005658196],"genre_scores_gemma":[5.769096e-7,0.003909806,0.00942295,0.002264368,0.002190005,0.0001141525,0.9803084,0.0004436601,0.001346147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3913136,"threshold_uncertainty_score":0.9998646,"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."}}