{"id":"W4385199419","doi":"10.1590/scielopreprints.6416","title":"Modelo de maturidade de serviços de telessaúde para o cenário brasileiro (TMSMM.br)","year":2023,"lang":"pt","type":"preprint","venue":"","topic":"Health Education and Validation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Philosophy; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005301676,0.0005641257,0.00065618,0.0003327304,0.001132167,0.0006405383,0.001316763,0.001543646,0.002758099],"category_scores_gemma":[0.000811907,0.0006218646,0.0003176738,0.0009106566,0.0001801465,0.000282807,0.0003987759,0.001527147,0.002465289],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002635062,"about_ca_system_score_gemma":0.0108979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05268976,"about_ca_topic_score_gemma":0.009617408,"domain_scores_codex":[0.9932013,0.001711668,0.001046939,0.001091913,0.0008965297,0.002051666],"domain_scores_gemma":[0.9961746,0.0007150447,0.0005261622,0.0008601996,0.0003183734,0.00140559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001836799,0.001623524,0.1834971,0.004346584,0.000387039,0.00004961442,0.4985794,0.0204086,0.001281641,0.06592089,0.2026028,0.02111913],"study_design_scores_gemma":[0.00137226,0.0001124531,0.5204287,0.001536056,0.0003370997,0.00003223491,0.1137442,0.141357,0.002367514,0.03517261,0.1802824,0.003257421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8000094,0.00025758,0.05496464,0.1083521,0.004664202,0.002815876,0.0001588846,0.001444828,0.02733253],"genre_scores_gemma":[0.8973904,0.002938981,0.007241377,0.007351008,0.002277094,0.0005736162,0.0002829443,0.0001517655,0.08179279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3848352,"threshold_uncertainty_score":0.9997526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3278688665102539,"score_gpt":0.4820227538450753,"score_spread":0.1541538873348214,"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."}}