{"id":"W6989289054","doi":"","title":"Artificial intelligence for human computing ICMI 2006 and IJCAI 2007 International Workshops, Banff, Canada, November 3, 2006 and Hyderabad, India, January 6, 2007 ; revised selected and invited papers","year":2007,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Applications of artificial intelligence; Human intelligence; Expert system; Intelligent decision support system","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":[],"consensus_categories":[],"category_scores_codex":[0.001034488,0.0002488328,0.0002334929,0.0002206291,0.0004206068,0.0003632801,0.000362709,0.0001276322,0.00003530376],"category_scores_gemma":[0.0002963309,0.0002442999,0.00002321976,0.0004387178,0.0001105663,0.0003237557,0.0002184049,0.0003194579,0.000002048033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008307876,"about_ca_system_score_gemma":0.0001033862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03256496,"about_ca_topic_score_gemma":0.09377185,"domain_scores_codex":[0.9978924,0.00006947074,0.000564388,0.0006981849,0.000327687,0.0004478958],"domain_scores_gemma":[0.9985021,0.0005481828,0.000218809,0.0002907995,0.0002124983,0.0002275979],"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":[0.0001410585,0.0001907508,0.1159335,0.0001260428,0.0001377269,0.00003612103,0.001057257,0.0002442179,0.00384331,0.02564414,0.06152064,0.7911252],"study_design_scores_gemma":[0.0008595765,0.000187579,0.5804881,0.0001808947,0.00004522449,0.0001147216,0.0003935219,0.3260295,0.001409246,0.001465805,0.08761253,0.001213297],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1500374,0.0006413362,0.8377282,0.004522868,0.000635171,0.0007040988,0.00006250671,0.0002094024,0.005459031],"genre_scores_gemma":[0.9690712,0.00004656654,0.02677369,0.002815928,0.0003049372,0.000007924441,0.0002852527,0.00002092501,0.0006735633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8190339,"threshold_uncertainty_score":0.996226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445218249967879,"score_gpt":0.2694197421913581,"score_spread":0.2549675596916793,"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."}}