{"id":"W6898631256","doi":"10.57745/bamewx/na3lyl","title":"190521_BM_BEN_B13_B_rbcL.h5","year":2022,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001684137,0.003760552,0.002279739,0.004603656,0.001816674,0.003915008,0.004240139,0.004279594,0.1641474],"category_scores_gemma":[0.009547136,0.001206782,0.001792317,0.006928562,0.000802368,0.002328303,0.002384255,0.002706232,0.2474273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002907115,"about_ca_system_score_gemma":0.003709814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0565384,"about_ca_topic_score_gemma":0.06885815,"domain_scores_codex":[0.9980239,0.0004322123,0.0001687545,0.0005838158,0.0004433607,0.0003480413],"domain_scores_gemma":[0.996277,0.001182307,0.0002138133,0.0009817688,0.001002838,0.0003421798],"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":[0.00005960012,0.00001549744,0.0002224073,0.0002857133,0.00001701454,0.000009640617,0.00001425642,0.0001577274,0.00008849357,0.0003690008,0.9978194,0.0009411584],"study_design_scores_gemma":[0.0003805241,0.00002328032,0.002418036,0.0002374982,0.00002861437,0.00004788296,0.00008561954,0.0005798175,0.0004779817,0.001454897,0.994224,0.00004187561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009099472,0.00006852168,0.00005843807,0.00009254242,0.00003289045,0.000006620988,0.9981673,0.0006638541,0.000818869],"genre_scores_gemma":[0.0002536979,0.00004233144,0.0002369793,0.00005835218,0.000009397674,0.00003593946,0.9984375,0.000161928,0.0007639677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8358526,"threshold_uncertainty_score":0.5491277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4801093876116948,"score_gpt":0.4548633885206597,"score_spread":0.02524599909103509,"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."}}