{"id":"W4406552570","doi":"10.1016/s1558-0164(07)70383-8","title":"10.1016/s1558-0164(07)70383-8","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Family medicine; Gerontology; Actuarial science; Economics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001223244,0.002414947,0.001614205,0.00264205,0.002181854,0.003513605,0.002838517,0.006268598,0.9894493],"category_scores_gemma":[0.001726967,0.0007556183,0.001386847,0.002018803,0.001749809,0.004489855,0.003246906,0.002610787,0.9904943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205498,"about_ca_system_score_gemma":0.001348798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003553453,"about_ca_topic_score_gemma":0.003265391,"domain_scores_codex":[0.999208,0.00007513957,0.0000741873,0.0002365388,0.0002167178,0.0001894041],"domain_scores_gemma":[0.9977518,0.0006060067,0.0001541791,0.0002055717,0.0004254632,0.0008570798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000400738,0.0003068733,0.001024214,0.0005519118,0.00003545785,0.0002609074,0.0001021917,0.0003394243,0.001423277,0.004468757,0.3129435,0.6781427],"study_design_scores_gemma":[0.00007160904,0.0001535348,0.0009430874,0.0004044248,0.00001510169,0.0003867884,0.0001178924,0.0002007295,0.0003716963,0.0007484669,0.9965636,0.00002318493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004838427,0.0004735646,0.00046997,0.0005502923,0.0002946373,0.0001090947,0.0005597172,0.0005954526,0.9964636],"genre_scores_gemma":[0.0006224117,0.0002135688,0.0002849594,0.0002570353,0.00008286798,0.00005556727,0.0003213741,0.0001074689,0.9980547],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01055074,"threshold_uncertainty_score":0.01504928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145871855178833,"score_gpt":0.2239052014741834,"score_spread":0.2093180159563001,"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."}}