{"id":"W2603919711","doi":"10.1200/jco.2017.35.5_suppl.54","title":"Identifying critical data elements for a provincial transition plan from a primary care perspective.","year":2017,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Juravinski Cancer Centre; Cancer Care Ontario","funders":"","keywords":"Medicine; Thematic analysis; Government (linguistics); Health care; Survivorship curve; Focus group; Delphi method; Family medicine; Nursing; Cancer; Qualitative research; Political science; Business; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04784137,0.0004207681,0.0003612074,0.004460505,0.01127577,0.008762944,0.002509079,0.001389982,0.003226926],"category_scores_gemma":[0.0745713,0.0007213022,0.0007493218,0.00604645,0.00441754,0.004258269,0.00684103,0.002373872,0.0004745798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08494993,"about_ca_system_score_gemma":0.3055913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5617712,"about_ca_topic_score_gemma":0.7366304,"domain_scores_codex":[0.9653161,0.01301902,0.004257133,0.001251293,0.01281437,0.003342113],"domain_scores_gemma":[0.9247707,0.02429065,0.006487078,0.003184787,0.03111085,0.01015593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002841583,0.0003109058,0.09725984,0.005802149,0.0001091947,0.004236693,0.432527,0.002106684,0.005863088,0.04048226,0.1061414,0.3048766],"study_design_scores_gemma":[0.00005660331,0.0002672846,0.08915911,0.005085214,0.0001070842,0.001095006,0.5417645,0.002962839,0.00238422,0.01074937,0.3462348,0.000134071],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.492373,0.006650782,0.06817643,0.2322046,0.001100011,0.02256476,0.006760266,0.0011136,0.1690565],"genre_scores_gemma":[0.8247162,0.001959206,0.1539426,0.003445308,0.00006389573,0.002712256,0.002556894,0.00009115064,0.01051254],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5617712,"threshold_uncertainty_score":0.8816192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7010127970578537,"score_gpt":0.6744375886231636,"score_spread":0.02657520843469008,"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."}}