{"id":"W2612633825","doi":"10.11606/t.5.2017.tde-18012017-150834","title":"Avaliação multidimensional da dor no pós-operatório da ceratectomia fotorrefrativa e fatores preditivos de dor","year":2017,"lang":"pt","type":"dissertation","venue":"","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004381525,0.0003757105,0.0007342436,0.001354624,0.0002422982,0.0009113855,0.0003101415,0.0005414397,0.002234379],"category_scores_gemma":[0.0107976,0.0001799379,0.001212678,0.0009418682,0.0004766467,0.0008001206,0.0008854302,0.0004769996,0.0001559418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004645725,"about_ca_system_score_gemma":0.0004928577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008449108,"about_ca_topic_score_gemma":0.001394157,"domain_scores_codex":[0.9976758,0.0009637655,0.0004063655,0.0002995761,0.0004524112,0.0002020406],"domain_scores_gemma":[0.9876443,0.005377764,0.004950407,0.0003518829,0.001180416,0.0004952388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001495093,0.0002175994,0.9704384,0.0004716154,0.000352189,0.00009033918,0.0007901865,0.0002729751,0.001172628,0.0001319183,0.0002602469,0.02430679],"study_design_scores_gemma":[0.00005320606,0.001366026,0.9953085,0.00008680901,0.00014628,0.0003479103,0.000719602,0.0005308328,0.0005732308,0.00008803062,0.0007562261,0.0000233038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947199,0.001617003,0.001246952,0.0001173144,0.00002370588,0.0001856978,0.0006252457,0.00001372054,0.001450597],"genre_scores_gemma":[0.9966291,0.000508795,0.001643078,0.0000479593,0.00002297983,0.0002670431,0.0004883617,0.000003753247,0.000389087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004381525,"threshold_uncertainty_score":0.02317196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522199638302657,"score_gpt":0.3436786589769344,"score_spread":0.3184566625939078,"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."}}