{"id":"W7133288350","doi":"","title":"Évaluation du crabe des neiges du plateau néo-écossais en 2019","year":2023,"lang":"fr","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nature Conservation; Natural regeneration; Biodiversity conservation","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":[0.000727419,0.0004406392,0.0005470297,0.0008737697,0.0007114209,0.001131302,0.0003519942,0.0004614319,0.002519609],"category_scores_gemma":[0.000632926,0.0002159251,0.0006151449,0.0008765135,0.0004435699,0.0004737048,0.0005054551,0.0003363093,0.0006983192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154767,"about_ca_system_score_gemma":0.0007696812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03094785,"about_ca_topic_score_gemma":0.1208349,"domain_scores_codex":[0.9995623,0.00003954123,0.00001808564,0.0001053963,0.0002133066,0.00006131781],"domain_scores_gemma":[0.999441,0.00004935385,0.00005327138,0.00001889001,0.0003688408,0.00006862658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001691519,0.0003292675,0.5243035,0.0007798055,0.0003030303,0.001540922,0.002148677,0.01064591,0.3668995,0.0007724244,0.001171655,0.08941381],"study_design_scores_gemma":[0.00004025338,0.002494536,0.9015356,0.000129107,0.0001907868,0.0004784684,0.003883445,0.009941928,0.05282618,0.0003349205,0.02808252,0.00006221802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918634,0.0008761463,0.001470149,0.00005991997,0.00002286146,0.00005058743,0.0009296191,0.00004988795,0.004677502],"genre_scores_gemma":[0.9823804,0.0006665459,0.003264789,0.0000851466,0.00000799749,0.00008634934,0.002102917,0.00003261213,0.01137323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9690521,"threshold_uncertainty_score":0.06153548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576650769323861,"score_gpt":0.2381791777266274,"score_spread":0.2224126700333888,"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."}}