{"id":"W6926245452","doi":"10.22005/bcu.176727","title":"Vancouver 2010","year":2009,"lang":"fr","type":"article","venue":"BCU","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Perspective (graphical); Field (mathematics); Identification (biology)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003943107,0.001218737,0.0006423849,0.001639977,0.001828759,0.004319874,0.001186164,0.001125827,0.5936946],"category_scores_gemma":[0.0009049523,0.0004346997,0.000415515,0.002971742,0.0005109347,0.001277181,0.001412518,0.001252565,0.4353019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003324187,"about_ca_system_score_gemma":0.003583286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08658025,"about_ca_topic_score_gemma":0.28696,"domain_scores_codex":[0.9996557,0.00002289438,0.00001318883,0.00006176062,0.0001922971,0.00005404589],"domain_scores_gemma":[0.9994261,0.00003757811,0.00001575453,0.00007082788,0.0003239858,0.000125794],"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":[0.0000426767,0.00002658516,0.0002793571,0.0001054085,0.000006715778,0.00005629303,0.00002828235,0.0002350729,0.0002514608,0.003524058,0.8853858,0.1100583],"study_design_scores_gemma":[0.000004520083,0.000005314138,0.0006720385,0.00005756772,0.000002711534,0.00002811817,0.00004358588,0.00008974701,0.0001011593,0.0005448545,0.9984468,0.000003635173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001156087,0.00606533,0.0009203439,0.001897979,0.004183118,0.00005363112,0.005787462,0.0005688804,0.9793672],"genre_scores_gemma":[0.0009896714,0.001518407,0.0002033337,0.00009541473,0.00006857753,0.00001077561,0.00100593,0.00009097602,0.9960168],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4063054,"threshold_uncertainty_score":0.5795453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0284182530683571,"score_gpt":0.2814638069924859,"score_spread":0.2530455539241288,"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."}}