{"id":"W2000085890","doi":"10.1503/cmaj.080113","title":"Therapeutic help from man's best friend","year":2008,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Veterinary Practice and Education Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009424611,0.0008237651,0.0006941702,0.0005609032,0.003671173,0.002278505,0.0006427401,0.003071967,0.08228507],"category_scores_gemma":[0.006189616,0.0002110633,0.0006871059,0.0002442433,0.001345616,0.002599935,0.00276693,0.006145665,0.03893332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009423425,"about_ca_system_score_gemma":0.00202286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001700447,"about_ca_topic_score_gemma":0.004287597,"domain_scores_codex":[0.9990464,0.0003000809,0.00003517868,0.0001310229,0.0003124338,0.0001749664],"domain_scores_gemma":[0.9977074,0.0002353727,0.0001251726,0.0001224072,0.0003407793,0.001469007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002140576,0.00005218018,0.0003627063,0.0000769253,0.00001250618,0.001059916,0.0003625714,0.00002386931,0.0002599029,0.00360902,0.9563537,0.0378054],"study_design_scores_gemma":[0.00001240802,0.00005767725,0.0003562031,0.000256115,0.000007105741,0.004524827,0.0004741398,0.00003606659,0.0000723263,0.002147675,0.9920431,0.00001238171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002971892,0.03593326,0.003724568,0.5786572,0.06103133,0.00009335975,0.0001594272,0.000946039,0.3164831],"genre_scores_gemma":[0.03952193,0.02917594,0.004089501,0.3979032,0.02697171,0.0001169824,0.0001594915,0.00043985,0.5016214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08228507,"threshold_uncertainty_score":0.275271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1670218629004663,"score_gpt":0.4298935516998824,"score_spread":0.2628716887994161,"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."}}