{"id":"W2110716429","doi":"10.3399/bjgp14x681037","title":"The GP as an investigator","year":2014,"lang":"en","type":"article","venue":"British Journal of General Practice","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital","funders":"Medical Research Council; British Heart Foundation","keywords":"Medicine; Data science; Computer science; World Wide Web; Information retrieval","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.005902975,0.0001035632,0.0002683165,0.00004380426,0.001801568,0.0001006291,0.0004210736,0.0001378131,0.0002065896],"category_scores_gemma":[0.01577298,0.00008382296,0.0000885565,0.0001225087,0.00008298355,0.001150719,0.00008098407,0.001501186,0.0002043063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001918333,"about_ca_system_score_gemma":0.002569827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665205,"about_ca_topic_score_gemma":0.0005186657,"domain_scores_codex":[0.9951307,0.00292724,0.0008813721,0.0001317107,0.0004707591,0.0004582585],"domain_scores_gemma":[0.9943644,0.00281295,0.001096088,0.0002435722,0.0008629661,0.0006199646],"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":[0.000232766,0.0000709328,0.001793773,0.00004448673,0.00005428227,0.0002067069,0.00044485,0.000004407719,0.0002389895,0.00989437,0.8639607,0.1230537],"study_design_scores_gemma":[0.0007499304,0.0003093204,0.007034746,0.00007020675,0.00005250372,0.001896517,0.0007940487,0.00002286554,0.00002074031,0.004404516,0.9845425,0.0001021011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.5425975,0.00785104,0.0005588695,0.246759,0.007824874,0.0005723412,0.00001221942,0.00007860145,0.1937455],"genre_scores_gemma":[0.1956509,0.01342837,0.02075317,0.7276496,0.01587907,0.00003377055,0.00001210804,0.0001171483,0.02647589],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4808905,"threshold_uncertainty_score":0.999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04213593657327393,"score_gpt":0.43565452283258,"score_spread":0.3935185862593061,"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."}}