{"id":"W2792474141","doi":"10.4095/286034","title":"Séries des cartes géophysiques, levé magnétique aéroporté de la région de la Baie d'Ungava, Québec, SNRC 24 K/16","year":2010,"lang":"fr","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Humanities; Geography; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003399722,0.0008593238,0.001172296,0.0002563785,0.0007605315,0.0005057117,0.0007260951,0.00205737,0.0134184],"category_scores_gemma":[0.001297101,0.0006542686,0.0008013407,0.000420841,0.002634118,0.0003449905,0.00008897021,0.002273509,0.0004964468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001427932,"about_ca_system_score_gemma":0.003015514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6701892,"about_ca_topic_score_gemma":0.5993943,"domain_scores_codex":[0.9945129,0.001431297,0.0009456653,0.001062922,0.0007695247,0.001277713],"domain_scores_gemma":[0.9958095,0.001957979,0.0004480272,0.0006458879,0.0003810803,0.0007575109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004523764,0.0002274183,0.8185699,0.0004806202,0.0003732008,0.0006865003,0.0007150617,0.01064642,0.0004332027,0.0005534615,0.0238201,0.1434489],"study_design_scores_gemma":[0.0003646875,0.0005236879,0.1566449,0.0004927061,0.001256634,0.001150535,0.0009954493,0.01954794,0.001070053,0.03763855,0.7782877,0.002027212],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6887194,0.03085342,0.01067893,0.002966741,0.0009518329,0.0003185105,0.0002144952,0.0004537141,0.264843],"genre_scores_gemma":[0.8043526,0.02875027,0.009776912,0.0004400547,0.001133144,0.00001358476,0.0006256005,0.00003297995,0.1548748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7544676,"threshold_uncertainty_score":0.9995909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586394556490065,"score_gpt":0.2473671527737319,"score_spread":0.2215032072088312,"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."}}