{"id":"W2228494091","doi":"","title":"Facilitating medical decision making with collaborative tools","year":2005,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Medical decision making; Data science; Knowledge management; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003521651,0.000186429,0.0002166923,0.0006979945,0.0002340845,0.0001523698,0.0007265622,0.0001163984,0.0003068128],"category_scores_gemma":[0.002520507,0.0001495791,0.0000169231,0.00180455,0.0005029586,0.0005703411,0.0002149365,0.0003987309,0.00009598256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005868989,"about_ca_system_score_gemma":0.001163403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001644836,"about_ca_topic_score_gemma":0.0003623917,"domain_scores_codex":[0.9980593,0.0000429629,0.0002573278,0.0005906564,0.00068013,0.0003696368],"domain_scores_gemma":[0.9964972,0.002429911,0.0001115685,0.0002978634,0.0004860821,0.0001773726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007510125,0.0000580863,0.0008939467,0.000003393791,0.000007169975,0.000005966901,0.001189883,0.000001228635,0.0001105755,0.6223863,0.0004009279,0.374935],"study_design_scores_gemma":[0.0006970217,0.0002311916,0.006214888,0.0006752404,0.000008449259,0.00008106085,0.0007902397,0.004534999,0.000942839,0.9826257,0.002730948,0.000467379],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03340391,0.0004128258,0.1011212,0.8539695,0.001035499,0.0004064775,0.00001371149,0.0002811078,0.009355815],"genre_scores_gemma":[0.9263397,0.00006186077,0.07209074,0.001006679,0.0002235739,0.0001161352,0.000005652113,0.000005306495,0.0001503517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8929358,"threshold_uncertainty_score":0.609966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02947793901093193,"score_gpt":0.3022616693247762,"score_spread":0.2727837303138442,"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."}}