{"id":"W2910456262","doi":"10.4095/261332","title":"Série des cartes géophysiques, parties des SNRC 32 E/9, 32 E/16, 32 F/11, 32 F/12, 32 F/13, et 32 F/14, levé gravimétrique de Matagami, Québec","year":2009,"lang":"fr","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Physics; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001188022,0.00103975,0.0007663753,0.007147873,0.001781475,0.001915231,0.0008603041,0.000528535,0.02846553],"category_scores_gemma":[0.003444794,0.0005598475,0.0005707018,0.01161995,0.0003857423,0.0007815727,0.0005150587,0.0008646173,0.006565207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01352252,"about_ca_system_score_gemma":0.02117817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9830389,"about_ca_topic_score_gemma":0.9869772,"domain_scores_codex":[0.9987006,0.00005693647,0.00003926679,0.0001548169,0.0008687446,0.0001795781],"domain_scores_gemma":[0.9952812,0.0003387806,0.0001979511,0.0003261637,0.003582116,0.0002739528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004107555,0.000100716,0.07263065,0.000369131,0.0001976934,0.0002232329,0.0005786184,0.008864089,0.003141737,0.004970355,0.7542374,0.1542757],"study_design_scores_gemma":[0.00009415126,0.00002193566,0.3898149,0.0000829218,0.00004449762,0.0001063432,0.000397588,0.008637516,0.003424943,0.0004502904,0.5968621,0.00006281739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0427798,0.001253458,0.005644226,0.001186353,0.0002700555,0.0002194975,0.8778515,0.00257758,0.06821751],"genre_scores_gemma":[0.1573502,0.002763323,0.02652257,0.0002669142,0.000175,0.0003938216,0.5291657,0.001537417,0.2818251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02846553,"threshold_uncertainty_score":0.09811318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06265416941017306,"score_gpt":0.2547692547889265,"score_spread":0.1921150853787535,"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."}}