{"id":"W7084059992","doi":"10.64628/aap.htp3prg53","title":"L'intelligence artificielle dans nos vies, au travail: s'adapter ou périr?","year":2019,"lang":"fr","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Identification (biology); Context (archaeology); Work (physics); Component (thermodynamics)","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":[0.007932405,0.001030323,0.0009975604,0.00143419,0.002129595,0.01306906,0.002445831,0.005653453,0.0103037],"category_scores_gemma":[0.02274418,0.0005967299,0.0007564634,0.001307397,0.009680451,0.01616786,0.005656844,0.004657426,0.004963646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160952,"about_ca_system_score_gemma":0.00204282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00372234,"about_ca_topic_score_gemma":0.003007866,"domain_scores_codex":[0.9938834,0.002335568,0.0003004088,0.0009490653,0.002161446,0.0003700889],"domain_scores_gemma":[0.9920537,0.003536642,0.0003858785,0.002465442,0.001213608,0.0003447184],"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":[0.0001491955,0.0001684134,0.002695381,0.0004963408,0.00006807834,0.0004015806,0.005053902,0.004569596,0.004610593,0.6900017,0.03099405,0.2607912],"study_design_scores_gemma":[0.00002782157,0.00007289575,0.00134297,0.0004596737,0.00003849962,0.0009032825,0.004284244,0.02409106,0.004449268,0.5329935,0.4312447,0.0000921349],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.04189648,0.01182265,0.6358376,0.1026199,0.003077275,0.0001369692,0.0003288095,0.003283996,0.2009962],"genre_scores_gemma":[0.4484431,0.009150432,0.4516644,0.0112459,0.002112311,0.0001863909,0.000578154,0.001120814,0.07549849],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01306906,"threshold_uncertainty_score":0.04195112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02563168629881873,"score_gpt":0.2460817698255578,"score_spread":0.2204500835267391,"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."}}