{"id":"W7024829187","doi":"","title":"Teste do Tempo & Troco: Estudo de validação","year":2011,"lang":"pt","type":"other","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depression (economics); Anxiety; Depressive symptoms; Mini–Mental State Examination; Test (biology)","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":[0.07097549,0.0006992216,0.001713685,0.003765408,0.001487078,0.002798913,0.002251981,0.001375079,0.006473918],"category_scores_gemma":[0.1920869,0.000651647,0.002498885,0.005072752,0.002768905,0.002453645,0.003136616,0.001434501,0.0008124498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001852532,"about_ca_system_score_gemma":0.005350314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00270835,"about_ca_topic_score_gemma":0.002596727,"domain_scores_codex":[0.9336271,0.03523948,0.009032766,0.005247769,0.01549136,0.001361592],"domain_scores_gemma":[0.7942765,0.1451302,0.02629557,0.01301199,0.01940685,0.001878835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002260487,0.001186417,0.843075,0.003658265,0.00192685,0.0002807311,0.01010492,0.001496083,0.001347,0.008503199,0.005595763,0.1205652],"study_design_scores_gemma":[0.0007970193,0.004763254,0.9363609,0.001801103,0.001012853,0.0007665957,0.005457376,0.007804681,0.004297752,0.008250379,0.02850895,0.0001791889],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8387401,0.004646563,0.07521563,0.002201879,0.001441237,0.01765791,0.009107563,0.0004961151,0.05049299],"genre_scores_gemma":[0.9392183,0.0006807912,0.03345875,0.0005404129,0.000220592,0.021114,0.001254428,0.0002357861,0.003276926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07097549,"threshold_uncertainty_score":0.3753588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07427817152593398,"score_gpt":0.3723493977030395,"score_spread":0.2980712261771056,"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."}}