{"id":"W4386123606","doi":"10.54932/momv7435","title":"Étude sur la mise en œuvre d’outils d’écofiscalité au service de la conservation et de l’adaptation aux changements climatiques dans les basses-terres du Saint-Laurent","year":2023,"lang":"fr","type":"report","venue":"","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec en Outaouais; Université du Québec à Montréal; HEC Montréal","funders":"","keywords":"Political science; Forestry; Humanities; Geography; Art","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":[0.00363513,0.0003407264,0.0003284734,0.0007930573,0.001602817,0.002205105,0.000930469,0.0003709332,0.003512231],"category_scores_gemma":[0.004415981,0.0002170395,0.0003978171,0.001314425,0.001198736,0.0007889009,0.0009104138,0.0006188122,0.0001817604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02189602,"about_ca_system_score_gemma":0.01488955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7063568,"about_ca_topic_score_gemma":0.8813512,"domain_scores_codex":[0.9986196,0.0004630675,0.00004036323,0.0001768488,0.0005503687,0.0001498189],"domain_scores_gemma":[0.9962429,0.0009964199,0.000406894,0.0002880294,0.001811186,0.0002545997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008060866,0.0003088177,0.4509741,0.001084309,0.0004791883,0.0004485765,0.02241089,0.03440844,0.02491156,0.02759095,0.004185797,0.4323913],"study_design_scores_gemma":[0.00004522914,0.0005629407,0.8598927,0.0006333005,0.0002026198,0.0001385238,0.01109197,0.0199059,0.01094382,0.002084997,0.09437217,0.0001258101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636531,0.001332597,0.0102409,0.001645034,0.00003753841,0.0001199958,0.000489539,0.00008830495,0.02239283],"genre_scores_gemma":[0.9724532,0.001021127,0.008892252,0.0001146914,0.00001415214,0.00006172015,0.0003213611,0.00002995753,0.01709144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2936432,"threshold_uncertainty_score":0.590745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0800781759242193,"score_gpt":0.3179994736558563,"score_spread":0.237921297731637,"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."}}