{"id":"W4320910398","doi":"10.17058/rjp.v12i1.17456","title":"TELEPSICOTERAPIA EM TEMPOS DE PANDEMIA","year":2022,"lang":"pt","type":"article","venue":"Revista Jovens Pesquisadores","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Physics; Political science; Art","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":[0.002207304,0.0003162291,0.0003797442,0.001096765,0.0006261055,0.001537399,0.0004790499,0.0006300416,0.008391274],"category_scores_gemma":[0.01537334,0.0002668414,0.0006575568,0.001064649,0.0004511023,0.001243854,0.001392678,0.000912003,0.0006321396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007816748,"about_ca_system_score_gemma":0.0009976061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006711301,"about_ca_topic_score_gemma":0.006775634,"domain_scores_codex":[0.9980865,0.0008380266,0.0001612301,0.0003340928,0.0003621288,0.0002180913],"domain_scores_gemma":[0.9912764,0.003617938,0.003117913,0.0003317728,0.0009457015,0.0007103034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001410236,0.0004338679,0.8779052,0.0009600634,0.0002829551,0.0004782293,0.007512079,0.0003398885,0.001586279,0.0007344652,0.002671654,0.1056851],"study_design_scores_gemma":[0.00003496327,0.001120897,0.9841042,0.0004947991,0.0002380082,0.0006099486,0.00526079,0.000615905,0.0006075985,0.0004698832,0.006403302,0.00003978028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820785,0.003164507,0.001607944,0.001443268,0.0001416536,0.0002422755,0.002254484,0.00006556454,0.00900169],"genre_scores_gemma":[0.9931144,0.002420002,0.001192995,0.0002435371,0.00008974598,0.0002668093,0.0004999096,0.00001239531,0.00216006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008391274,"threshold_uncertainty_score":0.02807158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02671126608628157,"score_gpt":0.3047915888848703,"score_spread":0.2780803227985888,"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."}}