{"id":"W4417038810","doi":"","title":"OBSERVER, DECRIRE ET COMPRENDRE LA CIRCULATION ET LE CYCLE DE VIE DES MASSES D’EAUX DU GYRE SUBPOLAIRE DE L’OCEAN ATLANTIQUE NORD","year":2017,"lang":"fr","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Argo; Indian ocean; Ocean gyre; Pacific ocean; Pilotage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006900922,0.0002930441,0.0002874898,0.0008422418,0.0004069556,0.002334342,0.0002719684,0.0004929427,0.001897576],"category_scores_gemma":[0.001249942,0.0001464446,0.0003088347,0.001394817,0.0005977523,0.001801073,0.0009377304,0.0006673991,0.0004541862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046302,"about_ca_system_score_gemma":0.002035835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06484134,"about_ca_topic_score_gemma":0.07942271,"domain_scores_codex":[0.9997333,0.00006300111,0.00001087645,0.00009076703,0.0000651621,0.00003686651],"domain_scores_gemma":[0.9994587,0.00009289611,0.0001720139,0.00006056729,0.000170038,0.00004577993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001863627,0.00004323195,0.6724899,0.0005245471,0.0003252303,0.000258355,0.006108208,0.01048334,0.02311195,0.03372713,0.006268309,0.2464734],"study_design_scores_gemma":[0.00002508025,0.0001354825,0.7817086,0.0004592678,0.000185719,0.0001965419,0.009055295,0.01476915,0.006098673,0.01419983,0.1730788,0.00008758268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7729438,0.01994816,0.1021996,0.006515994,0.0008453482,0.0001126498,0.004867227,0.0005233047,0.09204403],"genre_scores_gemma":[0.9335843,0.01047757,0.03625216,0.0004978994,0.0003243786,0.00006352831,0.00240215,0.000119491,0.01627846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06484134,"threshold_uncertainty_score":0.1289278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088913425669689,"score_gpt":0.2599642001043412,"score_spread":0.2390750658476443,"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."}}