{"id":"W2913316247","doi":"10.34019/1981-4070.2018.v12.21567","title":"E quando todo poder emanar dos dados? Uma entrevista sobre datacracia com Derrick de Kerckhove","year":2018,"lang":"pt","type":"article","venue":"Lumina","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004421064,0.0004051031,0.0003761861,0.0008325962,0.01693919,0.01015922,0.0009824084,0.002399015,0.009668015],"category_scores_gemma":[0.01219631,0.0004130471,0.0002476393,0.001279732,0.02043214,0.01068646,0.004927981,0.005929161,0.001321368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008646879,"about_ca_system_score_gemma":0.005328186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05393898,"about_ca_topic_score_gemma":0.1586828,"domain_scores_codex":[0.9954556,0.003071734,0.00007991344,0.0003958525,0.0005953641,0.0004016168],"domain_scores_gemma":[0.9934373,0.004046191,0.0003787565,0.0005467678,0.0006536844,0.0009371833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007922776,0.00002413618,0.001789749,0.0001538491,0.00001229346,0.0007833217,0.4852755,0.00007248146,0.0005467372,0.3431554,0.1343721,0.03373523],"study_design_scores_gemma":[0.000006232581,0.00001211679,0.001138465,0.0002389479,0.000006918717,0.0005939043,0.1425968,0.00008050463,0.0005238859,0.01512128,0.8396544,0.00002655928],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1329395,0.02855428,0.01648079,0.3560639,0.00641036,0.00009739788,0.0004143991,0.0002270777,0.4588123],"genre_scores_gemma":[0.815955,0.01092787,0.003684172,0.01805772,0.0005368898,0.00005652935,0.000118998,0.0003352732,0.1503274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9830608,"threshold_uncertainty_score":0.10725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05010509488671864,"score_gpt":0.272117239755456,"score_spread":0.2220121448687374,"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."}}