{"id":"W2272713200","doi":"10.13140/rg.2.1.1442.9287","title":"OCÉANOGRAPHIE, DISTRIBUTION ET CYCLE ANNUEL DE LA MORUE ARCTIQUE (BOREOGADUS SAIDA) EN MER DE BEAUFORT : UNE APPROCHE HYDROACOUSTIQUE","year":2012,"lang":"fr","type":"article","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Forestry; Geography","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0003010532,0.0002887708,0.0002716108,0.001059509,0.0003930029,0.0008210326,0.0004130569,0.0003474217,0.0008855108],"category_scores_gemma":[0.0003695509,0.0002251313,0.000428074,0.001245291,0.0002381772,0.0004690306,0.0004247548,0.0003314439,0.0002780259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000968439,"about_ca_system_score_gemma":0.0005149723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1072204,"about_ca_topic_score_gemma":0.2728588,"domain_scores_codex":[0.999859,0.00001462218,0.000006538646,0.00006478405,0.00004190998,0.00001309736],"domain_scores_gemma":[0.9997731,0.00003800084,0.00004263757,0.00001567909,0.0001085642,0.00002203437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001562314,0.00003146204,0.8230807,0.0002049577,0.0001588873,0.0002110869,0.002676871,0.005961122,0.05613967,0.0003203549,0.000603357,0.1104553],"study_design_scores_gemma":[0.000004744591,0.0000447628,0.984849,0.00002330757,0.00006399507,0.00008583347,0.001004201,0.007091111,0.002180667,0.0001233597,0.004508322,0.00002077802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978374,0.001291005,0.01124384,0.000257438,0.00003132368,0.00004297156,0.001484241,0.0001466776,0.007128476],"genre_scores_gemma":[0.979625,0.001090078,0.01462355,0.00006387941,0.00002588692,0.00004756677,0.001337845,0.00003168056,0.003154469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8927795,"threshold_uncertainty_score":0.2131927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006517253641951508,"score_gpt":0.2685422138126649,"score_spread":0.2620249601707134,"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."}}