{"id":"W3155776523","doi":"10.5558/tfc2021-015","title":"Progrès dans l’application de la télédétection pour les besoins en matière d’information sur les forêts au Canada : leçons tirées d’une collaboration nationale d’intervenants universitaires, industriels et gouvernementaux","year":2021,"lang":"fr","type":"article","venue":"The Forestry Chronicle","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université de Sherbrooke; Queen's University; Ministry of Natural Resources and Forestry; Nipissing University; Canadian Forest Service; University of Toronto; Natural Resources Canada; Université Laval; Alberta Ministry of Agriculture and Forestry; University of British Columbia","funders":"","keywords":"Humanities; Political science; Geography; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006945753,0.0009001357,0.0005387905,0.001917096,0.003247831,0.006282825,0.001424045,0.001702332,0.004632866],"category_scores_gemma":[0.006081184,0.0005455717,0.0008931184,0.002811363,0.002404266,0.002219846,0.001995283,0.002189738,0.001103598],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01503869,"about_ca_system_score_gemma":0.03943311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8818746,"about_ca_topic_score_gemma":0.9105936,"domain_scores_codex":[0.9951981,0.0008030852,0.0001527386,0.0006348626,0.002520021,0.0006913592],"domain_scores_gemma":[0.9915843,0.001920903,0.0002878107,0.0004538885,0.005084263,0.0006688024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000829281,0.0008579662,0.1051276,0.00141371,0.0002640672,0.001448779,0.02029338,0.02136568,0.07570191,0.0136943,0.01553778,0.7434656],"study_design_scores_gemma":[0.0002988527,0.001528401,0.3395296,0.001819487,0.0007113919,0.001324096,0.05154481,0.08714612,0.1233282,0.01065059,0.3813652,0.0007532995],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6511742,0.01342093,0.2019391,0.03067181,0.0008221189,0.001573292,0.002629602,0.002628832,0.09514],"genre_scores_gemma":[0.707844,0.008040414,0.2160873,0.002336123,0.0001157121,0.0004590327,0.001600177,0.0003019104,0.06321532],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9849613,"threshold_uncertainty_score":0.2376422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008529041038398771,"score_gpt":0.2283815965657259,"score_spread":0.2198525555273271,"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."}}