{"id":"W2120716293","doi":"10.12968/pnur.2005.16.8.18584","title":"Answering clinical questions","year":2005,"lang":"en","type":"article","venue":"Practice Nursing","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Primary care; Question answering; Medicine; Psychology; Medical education; Nursing; Family medicine; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.01637686,0.0005430479,0.0008325434,0.001390449,0.003553424,0.00292579,0.00100603,0.004404017,0.1509129],"category_scores_gemma":[0.1408958,0.0003671724,0.001248851,0.0008867549,0.00140819,0.002793666,0.00342272,0.004010297,0.07020057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002812554,"about_ca_system_score_gemma":0.004737704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003469304,"about_ca_topic_score_gemma":0.005675648,"domain_scores_codex":[0.9843943,0.009605701,0.001402923,0.0008348283,0.002051276,0.001711072],"domain_scores_gemma":[0.9025524,0.05316958,0.005698784,0.003921899,0.02501399,0.009643382],"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":[0.0001769695,0.000393171,0.01158569,0.0004116359,0.00001960588,0.0003269833,0.006239377,0.00007672911,0.0007010984,0.002939763,0.846554,0.1305749],"study_design_scores_gemma":[0.0001908967,0.0004238255,0.01674124,0.0012062,0.00004754764,0.002292329,0.01467822,0.0005735464,0.001246376,0.009151847,0.9533326,0.000115523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06985326,0.005700974,0.02718808,0.57781,0.01512967,0.005024469,0.01040997,0.004439864,0.2844437],"genre_scores_gemma":[0.2991956,0.007159317,0.07205138,0.3126331,0.008950875,0.01276717,0.008618358,0.001798506,0.2768257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1509129,"threshold_uncertainty_score":0.5048538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3757572017780016,"score_gpt":0.6872919263998536,"score_spread":0.3115347246218519,"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."}}