{"id":"W1199198179","doi":"","title":"Occlusion Therapy for Amblyopia: Optimizing Compliance","year":2006,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Compliance (psychology); Occlusion; Medicine; Optometry; Ophthalmology; Computer science; Psychology; Cardiology","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":[0.002418402,0.0002875573,0.0008552843,0.0007113971,0.000884485,0.0004704926,0.0003278021,0.0006121262,0.00190439],"category_scores_gemma":[0.006000821,0.000117803,0.0003799374,0.0006834799,0.0001942715,0.0008038775,0.0004249806,0.0007120537,0.0002263271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000514724,"about_ca_system_score_gemma":0.001477608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662492,"about_ca_topic_score_gemma":0.001524101,"domain_scores_codex":[0.9981794,0.0007522996,0.0002540378,0.0001221533,0.0004879508,0.0002041166],"domain_scores_gemma":[0.9982865,0.0009007012,0.0003771394,0.0000955987,0.0001506351,0.0001893141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01241192,0.01796884,0.123667,0.000909705,0.0002526041,0.0006455627,0.002273778,0.001422734,0.01047426,0.00185267,0.003653931,0.824467],"study_design_scores_gemma":[0.004125247,0.0555918,0.8883452,0.0008334758,0.001071483,0.003011241,0.001993752,0.00493759,0.0131521,0.001766352,0.02508781,0.00008397569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809158,0.004500046,0.002482821,0.001380773,0.0000839345,0.0004050499,0.00009200922,0.00008988452,0.01004965],"genre_scores_gemma":[0.9905301,0.002045345,0.003794076,0.0003475852,0.0001461247,0.0003260298,0.0000969684,0.00003159668,0.002682087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002418402,"threshold_uncertainty_score":0.01278985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09412230581552393,"score_gpt":0.4104596063359587,"score_spread":0.3163373005204348,"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."}}