{"id":"W6995804230","doi":"","title":"Pour en lire plus : Comment engager les\\n élu·e·s en faveur de la biodiversité – des outils concrets de\\n sensibilisation","year":2022,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Patent law; Licensee; Patent Act","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.02342701,0.0006972409,0.000769591,0.000810646,0.01280147,0.01308459,0.002935128,0.0167225,0.02439428],"category_scores_gemma":[0.06014806,0.000347907,0.000844572,0.0009562046,0.02078926,0.01536048,0.009727368,0.01717957,0.005592669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008264818,"about_ca_system_score_gemma":0.01690758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05698719,"about_ca_topic_score_gemma":0.1014445,"domain_scores_codex":[0.9724708,0.0159346,0.0005706217,0.001921206,0.006016557,0.003086292],"domain_scores_gemma":[0.9596263,0.01826687,0.002491965,0.002316478,0.01280511,0.004493215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001646717,0.0001620594,0.004907928,0.0009403019,0.00007278626,0.001168728,0.2221338,0.0002165419,0.002900191,0.1567673,0.5453031,0.06526251],"study_design_scores_gemma":[0.00001017847,0.00004815734,0.001927777,0.0005835458,0.00001783258,0.0002035862,0.06685144,0.00004870689,0.0009119639,0.01565621,0.913676,0.00006465673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008401467,0.006425354,0.001633164,0.9222113,0.008827251,0.00003961432,0.00007093965,0.00007288018,0.05231794],"genre_scores_gemma":[0.2412129,0.009765502,0.004238261,0.531252,0.004917569,0.0002249573,0.0001169384,0.0004267473,0.2078452],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05698719,"threshold_uncertainty_score":0.1238953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196067222830886,"score_gpt":0.2006850143440181,"score_spread":0.1810782920609295,"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."}}