{"id":"W6886808141","doi":"10.15454/hnxeod/oc7hyf","title":"VR2W-129963.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":[0.005204791,0.001379423,0.001647884,0.0002874013,0.0001992532,0.0003268637,0.01316572,0.002938092,0.004286273],"category_scores_gemma":[0.01311714,0.001453198,0.0002219463,0.002403427,0.0003725557,0.001004778,0.004631004,0.008279054,0.4128553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007901315,"about_ca_system_score_gemma":0.001264145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625166,"about_ca_topic_score_gemma":0.0006200029,"domain_scores_codex":[0.9900181,0.002679802,0.00116098,0.003359108,0.001473282,0.001308669],"domain_scores_gemma":[0.983632,0.001727176,0.0009281213,0.01285962,0.0002152804,0.0006378594],"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":[0.0000908046,0.0002054118,0.000009086436,0.0006237457,0.000304551,0.0002208431,0.00003876871,0.000002822267,0.000238063,0.000005707186,0.9948071,0.003453058],"study_design_scores_gemma":[0.0007435658,0.00006388027,0.00004881017,0.0003806699,0.0003963385,0.00004278459,0.00002302181,0.000155146,0.0001111433,0.0001446757,0.9963599,0.001530098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002762536,0.002102204,0.0001313218,0.0005371541,0.001200977,0.0009627473,0.9938854,0.0006403837,0.0005370603],"genre_scores_gemma":[5.556315e-7,0.003823498,0.008847013,0.002208095,0.00209092,0.000113067,0.9812016,0.0004365725,0.001278703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.408569,"threshold_uncertainty_score":0.9998956,"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."}}