{"id":"W4409541221","doi":"10.3917/rdna.hs15.0055","title":"Nouvel échiquier stratégique : les grands fonds marins canadiens","year":2024,"lang":"fr","type":"article","venue":"Revue Défense Nationale","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; Transport Canada","keywords":"Political science; Art","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":[0.002771127,0.0008163168,0.0004320254,0.001403242,0.0116143,0.01201099,0.0009120873,0.003621204,0.01833728],"category_scores_gemma":[0.005557159,0.0003445612,0.0003742925,0.002166803,0.003884072,0.004203709,0.004499373,0.005420477,0.002022315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0209896,"about_ca_system_score_gemma":0.0279817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2810023,"about_ca_topic_score_gemma":0.4059628,"domain_scores_codex":[0.9969468,0.0008033447,0.00004063595,0.0002740452,0.000962653,0.000972521],"domain_scores_gemma":[0.997538,0.0005273136,0.0001302923,0.000123249,0.0006416497,0.001039469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001780575,0.0001316112,0.01268835,0.000214332,0.00007024285,0.00128159,0.03559194,0.001625918,0.0009675102,0.6331442,0.1653174,0.1487888],"study_design_scores_gemma":[0.00001464329,0.00002708373,0.007673522,0.0002042089,0.000014178,0.0002714174,0.01803207,0.0004209496,0.000302927,0.01854799,0.954452,0.00003891735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1511197,0.02133194,0.006901559,0.3426296,0.004701744,0.00009088303,0.0003221731,0.0003201629,0.4725822],"genre_scores_gemma":[0.5964069,0.006401713,0.005006809,0.009007687,0.0006600019,0.0001130554,0.000192077,0.0002290527,0.3819826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7189977,"threshold_uncertainty_score":0.5587333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844176921710921,"score_gpt":0.2265055157489738,"score_spread":0.2080637465318646,"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."}}