{"id":"W4229928954","doi":"10.24305/cadecs.v2i2.10796","title":"Apresentação","year":2014,"lang":"pt","type":"article","venue":"Caderno Eletrônico de Ciências Sociais","topic":"Social and Economic Solidarity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thinkpath Engineering Services (Canada)","funders":"","keywords":"Computer 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","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003021362,0.0005885421,0.0009671299,0.0001620606,0.0023444,0.00044098,0.001364629,0.001412021,0.002382009],"category_scores_gemma":[0.001776294,0.0007247197,0.0007787989,0.0008377895,0.001044422,0.0004544059,0.0003264951,0.001151458,0.003397092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576127,"about_ca_system_score_gemma":0.0009387361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006248669,"about_ca_topic_score_gemma":0.003526125,"domain_scores_codex":[0.9939571,0.001246632,0.0008222436,0.0009893836,0.0007756572,0.002208963],"domain_scores_gemma":[0.9968616,0.001004918,0.0005388899,0.0006319159,0.0002104749,0.0007522107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006837289,0.0006429535,0.1279217,0.0001663023,0.0005900756,0.00002825286,0.1974769,0.00004610321,0.0001636019,0.07555152,0.5388784,0.05846589],"study_design_scores_gemma":[0.001763797,0.0001634264,0.0455694,0.0001013837,0.0003263,0.000008150698,0.06240015,0.001981985,0.0002633106,0.0283826,0.8572437,0.001795857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6910988,0.002474203,0.0009299458,0.01947711,0.005506957,0.0008456156,0.0001030066,0.0005945314,0.2789699],"genre_scores_gemma":[0.9487026,0.0008458535,0.00005861077,0.004745238,0.006154484,0.00005884672,0.00001933721,0.0001052059,0.03930979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3183652,"threshold_uncertainty_score":0.9998844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0511001950697904,"score_gpt":0.3176991825246471,"score_spread":0.2665989874548567,"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."}}