{"id":"W3215655451","doi":"10.26512/belasinfieis.v10.n4.2021.37041","title":"Interpretação Comunitária: um Modelo de Comunicação “Trialógica”","year":2021,"lang":"pt","type":"article","venue":"Belas Infiéis","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Mod; Physics; Computer science; Artificial intelligence","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":[0.04833031,0.0008693612,0.001390759,0.003920019,0.005807684,0.01944329,0.004665933,0.00718684,0.0200159],"category_scores_gemma":[0.09502082,0.0007828205,0.001677124,0.004884163,0.03350114,0.02652705,0.008928925,0.005443471,0.002183138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01048837,"about_ca_system_score_gemma":0.01680491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006616966,"about_ca_topic_score_gemma":0.004568745,"domain_scores_codex":[0.9335357,0.05638924,0.001650556,0.003428722,0.003748317,0.001247377],"domain_scores_gemma":[0.8887627,0.08769963,0.005415986,0.0102944,0.005420479,0.002406894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001155,0.00007352511,0.001358035,0.0002850845,0.00003903489,0.000137922,0.01798498,0.0008138224,0.0001605641,0.958016,0.002707198,0.01830818],"study_design_scores_gemma":[0.000131932,0.0001434213,0.0006038365,0.0006344105,0.0000718201,0.0001897054,0.007378613,0.005076789,0.000372539,0.9180574,0.06729111,0.000048519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0369615,0.005120737,0.4739695,0.1221222,0.001630838,0.001459296,0.0006672026,0.0006326708,0.357436],"genre_scores_gemma":[0.8445336,0.002667821,0.1218597,0.008129238,0.0007031409,0.001972478,0.0003578984,0.0003273229,0.01944882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04833031,"threshold_uncertainty_score":0.2555981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2153637651816634,"score_gpt":0.5033316431922604,"score_spread":0.287967878010597,"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."}}