{"id":"W7034539108","doi":"","title":"Utilisation d'une carte réduite en incertitude spatiale pour vérifier l'exactitude d'une classification, application à la foresterie","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Language, Linguistics, Cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Context (archaeology); Nature tourism; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001964612,0.0007295906,0.000432722,0.007244808,0.001493589,0.004187834,0.0006985352,0.0009418794,0.02712431],"category_scores_gemma":[0.005551181,0.0004678181,0.0006495311,0.007941818,0.0008290515,0.001891669,0.001134059,0.0006960247,0.009742285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002783013,"about_ca_system_score_gemma":0.00455076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3120001,"about_ca_topic_score_gemma":0.4314962,"domain_scores_codex":[0.9982011,0.000261144,0.0001059586,0.0002546553,0.001043819,0.0001333493],"domain_scores_gemma":[0.99493,0.0009435482,0.000233263,0.0005773578,0.003230095,0.00008572088],"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":[0.0001398218,0.00006699091,0.01242881,0.0006461099,0.0000674696,0.000318752,0.003805732,0.006349617,0.01854448,0.02079871,0.07668582,0.8601477],"study_design_scores_gemma":[0.00003862343,0.00006952616,0.06171866,0.0004328737,0.0001044478,0.001089663,0.00324805,0.05399393,0.03645064,0.005636853,0.8370956,0.0001212243],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1138244,0.003307487,0.5287462,0.004700029,0.0009993954,0.0008231016,0.03214052,0.01578587,0.299673],"genre_scores_gemma":[0.2082873,0.001955542,0.5237833,0.0004546805,0.0001239627,0.0003404928,0.01375166,0.002018509,0.2492846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3120001,"threshold_uncertainty_score":0.620368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005153839537768604,"score_gpt":0.1609313385827816,"score_spread":0.155777499045013,"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."}}