{"id":"W7052542411","doi":"","title":"Ãtude des transactions sociales dans une situation d'élaboration d'un programme commandité de perfectionnement médiatisé impliquant plusieurs partenaires","year":2004,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Filter (signal processing); Nucleofection; Government (linguistics); 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":[0.003480277,0.0004224108,0.0003159434,0.001071344,0.004211875,0.007499056,0.0008861409,0.001527289,0.01670887],"category_scores_gemma":[0.007072145,0.0002885894,0.0004285797,0.001859079,0.005167935,0.006113743,0.003816888,0.001603056,0.001336516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004206788,"about_ca_system_score_gemma":0.003396167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01195951,"about_ca_topic_score_gemma":0.01143433,"domain_scores_codex":[0.994954,0.002331251,0.0002002038,0.0007236769,0.001313191,0.0004775145],"domain_scores_gemma":[0.9927315,0.003198282,0.001547676,0.0006292654,0.0011004,0.0007929393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003869021,0.0002521594,0.05385627,0.0006641407,0.000139857,0.001807351,0.2872406,0.003980734,0.01446559,0.4578618,0.006549962,0.1727946],"study_design_scores_gemma":[0.00006253611,0.0006080039,0.1262876,0.0005518678,0.00012259,0.00111993,0.3047353,0.007968927,0.006971201,0.08757842,0.4638161,0.0001773879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7360181,0.001855492,0.02599532,0.007882307,0.0001597865,0.000164526,0.000321286,0.0001419805,0.2274612],"genre_scores_gemma":[0.9607362,0.0005838726,0.003530848,0.0001878742,0.0000340076,0.0001125785,0.000102104,0.00003323842,0.03467932],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01670887,"threshold_uncertainty_score":0.05589676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00463490867764947,"score_gpt":0.2005461509876819,"score_spread":0.1959112423100325,"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."}}