{"id":"W7017530845","doi":"","title":"Bateria Montreal de Avalia??o da Comunica??o Breve - Bateria MAC Breve : estudos de adapta??o","year":2015,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Radio, Podcasts, and Digital Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Object (grammar); Data collection; Visualization","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008022435,0.0009935036,0.001446529,0.0003080677,0.0005310893,0.0008355326,0.002469331,0.0004966422,0.002465636],"category_scores_gemma":[0.0005527763,0.001023875,0.00045367,0.001571839,0.002169106,0.003157454,0.0007425557,0.0006178905,0.0010993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005861038,"about_ca_system_score_gemma":0.004142862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2587846,"about_ca_topic_score_gemma":0.002349292,"domain_scores_codex":[0.9922644,0.001591949,0.001150891,0.001275808,0.001181697,0.002535238],"domain_scores_gemma":[0.9939762,0.0005525292,0.000731523,0.001367265,0.0001323316,0.003240107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005370365,0.0006887718,0.2235692,0.00006769995,0.0004423061,0.0008784387,0.04269335,0.00005132108,0.0002133339,0.001847147,0.6528099,0.07620145],"study_design_scores_gemma":[0.004382441,0.002678204,0.5659325,0.0004463317,0.0006012052,0.0001768849,0.05064668,0.002050047,0.0009654242,0.005652231,0.3624831,0.003985045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8754855,0.00304284,0.0002249272,0.01143206,0.003633514,0.001105891,0.0006364397,0.0006915861,0.1037473],"genre_scores_gemma":[0.9467643,0.001436122,0.001813639,0.004133883,0.001947274,0.0001078408,0.0001765757,0.0002384745,0.0433819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3423632,"threshold_uncertainty_score":0.9996784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05261720937452192,"score_gpt":0.2922393288470005,"score_spread":0.2396221194724786,"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."}}