{"id":"W4406511959","doi":"10.1016/j.yoph.2014.02.026","title":"10.1016/j.yoph.2014.02.026","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Beijing; Depression (economics); Ophthalmology; Optometry; China; Geography","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":[0.0004082162,0.0008126515,0.0004145196,0.000965592,0.0007387231,0.00165915,0.0005811276,0.002286802,0.8472417],"category_scores_gemma":[0.001056862,0.0003161658,0.0003879738,0.0003742973,0.00060471,0.001762387,0.0008513818,0.001396956,0.6727223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005877286,"about_ca_system_score_gemma":0.001029446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002261297,"about_ca_topic_score_gemma":0.002439491,"domain_scores_codex":[0.9998263,0.00001535362,0.0000132321,0.0000459661,0.00005397763,0.00004528485],"domain_scores_gemma":[0.9993148,0.0001000234,0.00009345636,0.00002681715,0.0001790945,0.0002858557],"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":[0.0003153696,0.000362786,0.006404382,0.0005944067,0.00003519579,0.000806155,0.0001405275,0.0001030255,0.0009219416,0.003904841,0.3022869,0.6841244],"study_design_scores_gemma":[0.00009263797,0.0001977415,0.01075215,0.001657815,0.000040955,0.008055177,0.0004138939,0.0001993177,0.0004523671,0.003829892,0.9742788,0.00002912654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007673561,0.02795194,0.001696603,0.01242079,0.003390967,0.000114807,0.001982437,0.001073063,0.9436959],"genre_scores_gemma":[0.02707145,0.01265152,0.002018868,0.004147992,0.001904553,0.00009632167,0.001308532,0.000204632,0.9505962],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1527583,"threshold_uncertainty_score":0.2178912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005198430046308279,"score_gpt":0.1883093506558347,"score_spread":0.1831109206095265,"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."}}