{"id":"W1585844459","doi":"","title":"Governar a tudo, a todos e a si mesmo...","year":2014,"lang":"pt","type":"article","venue":"ECOPOLÍTICA","topic":"Social and Economic Solidarity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001268327,0.0003218722,0.0006044548,0.00005623063,0.001103024,0.0002427994,0.0006819654,0.0004105371,0.008406498],"category_scores_gemma":[0.0008309294,0.000350767,0.0003379408,0.0003401996,0.0006994546,0.0002935708,0.0002065059,0.00037257,0.009328863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003985927,"about_ca_system_score_gemma":0.0003112741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004202629,"about_ca_topic_score_gemma":0.004389756,"domain_scores_codex":[0.9970351,0.0004170276,0.0004993437,0.0006260959,0.0004063566,0.001016102],"domain_scores_gemma":[0.9981723,0.0005121502,0.0002572629,0.0004683534,0.00007396713,0.0005159469],"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":[0.0001414716,0.0008875848,0.01745153,0.0001351934,0.000499176,0.00002390447,0.1835379,0.00001313257,0.00005730835,0.3581997,0.409519,0.02953422],"study_design_scores_gemma":[0.0008845389,0.0001904468,0.005250607,0.00005543126,0.0001311102,0.000002429866,0.01667356,0.001473796,0.00007237105,0.02020921,0.9543418,0.000714737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3483842,0.0004668627,0.0001690452,0.03398506,0.006002661,0.000633832,0.00007539679,0.0002897215,0.6099932],"genre_scores_gemma":[0.9497116,0.0001079288,0.00006794424,0.002247543,0.002719192,0.00002801152,0.00000335276,0.00003830795,0.04507608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6013274,"threshold_uncertainty_score":0.9998944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936255068204435,"score_gpt":0.3049942118544259,"score_spread":0.2756316611723815,"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."}}