{"id":"W7120763602","doi":"","title":"O campo acadêmico e a regulação métrica: autonomia, heteronomia e democracia – a ingerência economicista","year":2023,"lang":"pt","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Education and Public Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Politics; Autonomy; Perspective (graphical); Democracy; Context (archaeology)","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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00314417,0.001059091,0.001198467,0.001877047,0.002997464,0.001252953,0.002208998,0.001659739,0.0004740447],"category_scores_gemma":[0.00194073,0.001208216,0.0007488063,0.0035758,0.0001487063,0.001409112,0.0007362828,0.001553158,0.0008268747],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.003992478,"about_ca_system_score_gemma":0.005949055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005594981,"about_ca_topic_score_gemma":0.002200161,"domain_scores_codex":[0.9909437,0.001567351,0.001891706,0.001867319,0.001151817,0.002578057],"domain_scores_gemma":[0.993818,0.0009398965,0.001296629,0.001391125,0.0006057166,0.001948624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002064929,0.0008371823,0.001693495,0.0001572853,0.00042995,0.0001004972,0.03864324,0.0001760648,0.0003515332,0.8470567,0.1045291,0.005818451],"study_design_scores_gemma":[0.001592859,0.00008720185,0.01372465,0.0001720864,0.0001480006,0.0002074003,0.007568006,0.002163815,0.0001065928,0.0008146579,0.9721755,0.001239266],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4233615,0.0008462939,0.0005320405,0.2430216,0.008907263,0.002342384,0.0005316003,0.002515301,0.317942],"genre_scores_gemma":[0.973051,0.0007189104,0.0005096124,0.00136571,0.003325613,0.0004732703,0.000443767,0.0001645822,0.01994751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8676463,"threshold_uncertainty_score":0.9999511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04350147320076852,"score_gpt":0.3026884573641862,"score_spread":0.2591869841634177,"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."}}