{"id":"W6990818394","doi":"","title":"Elaboration de la cartographie préliminaire des Groupes de Types d'Habitats marins -Règlement restauration","year":2023,"lang":"fr","type":"report","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Cytophaga; Shore; Sea lion; Debitage","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":[],"consensus_categories":[],"category_scores_codex":[0.002666958,0.0009392218,0.000689199,0.01012124,0.001333937,0.003604935,0.0008435124,0.0007888211,0.02106475],"category_scores_gemma":[0.008504577,0.0005670892,0.002424123,0.01493616,0.0008349252,0.002170357,0.001362255,0.001209147,0.004750249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00218677,"about_ca_system_score_gemma":0.005282684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1618366,"about_ca_topic_score_gemma":0.1811969,"domain_scores_codex":[0.9975198,0.0005344203,0.0002383164,0.0005114928,0.0009146987,0.0002812277],"domain_scores_gemma":[0.9877602,0.005432142,0.0008180276,0.000976873,0.004683462,0.0003292725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009169823,0.000199596,0.3587967,0.006711551,0.0009748347,0.002215735,0.03478027,0.01813637,0.02888485,0.02741659,0.08045033,0.4405163],"study_design_scores_gemma":[0.00005767114,0.0001786902,0.4161461,0.001753261,0.0006086226,0.0009908982,0.02731842,0.0193322,0.009167574,0.006266203,0.5179651,0.0002152246],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4667881,0.008088136,0.1857267,0.007236108,0.0006152433,0.002041029,0.195652,0.007671584,0.1261811],"genre_scores_gemma":[0.5291005,0.005074326,0.2824424,0.000700886,0.0001636065,0.002031059,0.1185958,0.001359567,0.06053173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1618366,"threshold_uncertainty_score":0.3217892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03506499972062994,"score_gpt":0.2866997061259705,"score_spread":0.2516347064053406,"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."}}