{"id":"W3013402526","doi":"","title":"Éviter la controverse : un regard institutionnaliste sur les habiletés d'une industrie proactive au Canada","year":2019,"lang":"fr","type":"article","venue":"Archipelago (University of Quebec in Montreal)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002142158,0.0003130502,0.0005090456,0.0001639829,0.0002104365,0.0001478999,0.0006725039,0.0002405731,0.00009214944],"category_scores_gemma":[0.0001131113,0.000323889,0.000160802,0.000625731,0.0005900675,0.002899134,0.0004060257,0.0005108809,0.00002977065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007733773,"about_ca_system_score_gemma":0.002715089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993411,"about_ca_topic_score_gemma":0.9998482,"domain_scores_codex":[0.9978621,0.0002939452,0.0002737676,0.0005411406,0.0004519804,0.000577062],"domain_scores_gemma":[0.998225,0.0004128913,0.0002750557,0.0005171042,0.0002597904,0.0003102118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005570138,0.0007104488,0.01398761,0.0002240777,0.0003471902,0.002594572,0.07134308,0.002509847,0.000294103,0.3363627,0.006846345,0.5642231],"study_design_scores_gemma":[0.005883154,0.0003739271,0.8747504,0.0009470715,0.0001174949,0.0001327615,0.01941303,0.006434666,0.0002185243,0.01343231,0.07727783,0.001018862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153845,0.0003148458,0.001034707,0.006667562,0.000539719,0.0004894266,0.0001328253,0.00002532937,0.07541114],"genre_scores_gemma":[0.9629256,0.00003630313,0.0003334162,0.000199367,0.00005127595,4.319064e-7,0.00002547936,0.000009201595,0.0364189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8607628,"threshold_uncertainty_score":0.9999213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05300215464056957,"score_gpt":0.2087906843494256,"score_spread":0.155788529708856,"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."}}