{"id":"W3215069479","doi":"10.7202/1083907ar","title":"Effets des infrastructures linéaires sur la biomasse des insectes nocturnes à l’échelle du paysage","year":2021,"lang":"fr","type":"article","venue":"Le Naturaliste canadien","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Forestry; Humanities; 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":[0.0005109605,0.0004766749,0.0002641217,0.0005398719,0.000340159,0.0007902462,0.0003650217,0.0003452532,0.00322159],"category_scores_gemma":[0.001702576,0.0001977746,0.000531339,0.0006359605,0.0005532601,0.000387808,0.0005831709,0.0003672456,0.0002626687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203666,"about_ca_system_score_gemma":0.0009828582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1910032,"about_ca_topic_score_gemma":0.2964734,"domain_scores_codex":[0.9993942,0.000129172,0.00002482524,0.0001411265,0.0001464133,0.0001642698],"domain_scores_gemma":[0.996847,0.0009589805,0.0008471428,0.0001918605,0.0005762749,0.0005787776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009143722,0.0001868535,0.9656817,0.00008656974,0.0003258824,0.0001977799,0.000472281,0.003254174,0.009979488,0.0001257381,0.0001875929,0.01858754],"study_design_scores_gemma":[0.000004124531,0.0003198063,0.9979844,0.00000662508,0.00004786586,0.00001899073,0.0002624123,0.0003778839,0.0005726776,0.00001921849,0.0003817148,0.000004129871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984779,0.0001421011,0.0001519743,0.00002325777,0.000003309584,0.00001061293,0.000184426,0.000006402875,0.001000033],"genre_scores_gemma":[0.9973223,0.000203569,0.0003024195,0.00001649746,0.000003096998,0.00001788252,0.0002361561,0.000003709132,0.001894446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8089967,"threshold_uncertainty_score":0.379783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03105071332552108,"score_gpt":0.1929457034386688,"score_spread":0.1618949901131477,"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."}}