{"id":"W2759471412","doi":"","title":"Danser avec les robots / Robert Saucier, Autosmarts, Centre d’exposition Circa, Montréal, 14 septembre — 12 octobre 2002","year":2003,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Exposition (narrative); Art; Humanities","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001217523,0.001070447,0.0004015645,0.001299175,0.005037002,0.004049131,0.0007342902,0.002431048,0.03747021],"category_scores_gemma":[0.001865307,0.0005086387,0.0002872416,0.00134339,0.002264506,0.002581216,0.001005771,0.002492465,0.006360942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00700983,"about_ca_system_score_gemma":0.003781568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3151204,"about_ca_topic_score_gemma":0.4949883,"domain_scores_codex":[0.9992231,0.0001912606,0.00002072142,0.000192842,0.0002764424,0.00009552235],"domain_scores_gemma":[0.9994169,0.0002033501,0.00003449981,0.00003137723,0.000235803,0.0000780456],"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":[0.00006438786,0.00002606663,0.0003819046,0.0001361922,0.000008505339,0.0001031097,0.002046958,0.0002273686,0.0007196187,0.04840093,0.8987,0.04918492],"study_design_scores_gemma":[0.000007022944,0.000007990442,0.0006206604,0.00005305179,0.00000365623,0.00005780308,0.0006780871,0.0001014945,0.0003858133,0.001313909,0.996762,0.000008465618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0111899,0.4117125,0.01100562,0.1901063,0.02859699,0.0001268121,0.001089303,0.001234305,0.3449383],"genre_scores_gemma":[0.05165429,0.04252519,0.002133024,0.005159976,0.004051334,0.00005579868,0.0001786132,0.0004808906,0.8937609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6848795,"threshold_uncertainty_score":0.6265725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03137913662847362,"score_gpt":0.1849783527035277,"score_spread":0.1535992160750541,"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."}}