{"id":"W4398347562","doi":"10.7910/dvn/ktwodg/zfjw12","title":"Final_DDB_6_18.tab","year":2013,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Scholarship; Work (physics); Sociology; Political science; Engineering; Law; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002667042,0.0014245,0.001733558,0.006667566,0.001235177,0.005757077,0.002959613,0.001739728,0.489642],"category_scores_gemma":[0.01687547,0.001288435,0.001312766,0.0129578,0.000522419,0.002287068,0.00304252,0.001910485,0.4304883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003348291,"about_ca_system_score_gemma":0.006418902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02678317,"about_ca_topic_score_gemma":0.0332294,"domain_scores_codex":[0.9976838,0.0003012563,0.0004113165,0.0004963057,0.0006857002,0.0004217669],"domain_scores_gemma":[0.9908482,0.002247184,0.0008844919,0.001326628,0.003806137,0.0008874475],"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":[0.00001680144,0.000004376775,0.0001266591,0.0002950312,0.000006018779,0.000003628741,0.000008045395,0.00001962727,0.00002037782,0.0002843279,0.9984077,0.0008074836],"study_design_scores_gemma":[0.0001697126,0.000006435273,0.001466007,0.000333835,0.00001263648,0.00001286417,0.00005836436,0.00003982454,0.0001409474,0.0007356189,0.9970081,0.00001566475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002183862,0.00002805478,0.00002655428,0.00008261863,0.0000282961,0.00001147085,0.9982224,0.0001176221,0.001461138],"genre_scores_gemma":[0.0002686632,0.00009172706,0.0001847191,0.000100153,0.0000234481,0.0001550736,0.9937102,0.0001953504,0.005270713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.510358,"threshold_uncertainty_score":0.7279637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03986783889424257,"score_gpt":0.3978939072887611,"score_spread":0.3580260683945185,"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."}}