{"id":"W7011172422","doi":"","title":"Levés d'induction électromagnétique
\\n(Promis-10 et GEM-2), magnétométrique (GSM-19)
\\net de tomographie géoélectrique (ABEM
\\nTerrameter LS) du gîte de silice de la propriété
\\nRoncevaux (Matapédia).","year":2016,"lang":"fr","type":"other","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Iodinated contrast media; Rail transportation; Materials testing","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":[0.0006240065,0.0006268546,0.0006318507,0.0004495903,0.000822411,0.0005439998,0.0006274311,0.0004799899,0.006875737],"category_scores_gemma":[0.0006811533,0.0003928079,0.0003417097,0.0005833827,0.0006537511,0.0003841359,0.0006437601,0.0008841294,0.001645757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001897461,"about_ca_system_score_gemma":0.0008847661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02108248,"about_ca_topic_score_gemma":0.0638777,"domain_scores_codex":[0.9995054,0.00006996968,0.00001812609,0.00008847292,0.000240716,0.00007736803],"domain_scores_gemma":[0.9992616,0.000299412,0.00006338815,0.0000753259,0.0002472113,0.00005315324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001122104,0.0001125005,0.005859352,0.0003341364,0.00005698324,0.0001959323,0.0005671055,0.003051222,0.9541988,0.0007985172,0.001849256,0.031854],"study_design_scores_gemma":[0.0001114879,0.001143057,0.03917958,0.00003127112,0.0001081147,0.0001077881,0.0003416233,0.007716348,0.9308009,0.0002971209,0.02011253,0.00005025916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9081017,0.0005634389,0.05446713,0.0004977853,0.000115212,0.0001798955,0.001863699,0.001977821,0.03223332],"genre_scores_gemma":[0.9099458,0.0006409626,0.03684709,0.0003660753,0.00002983809,0.0003154942,0.00164335,0.0005878175,0.04962355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9789175,"threshold_uncertainty_score":0.04191953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03204063259255782,"score_gpt":0.3324457308021032,"score_spread":0.3004050982095454,"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."}}