{"id":"W7001272047","doi":"","title":"A institucionalizaçao profissional da arquivística: uma análise discursiva panor amica do Brasil e Canadá","year":2017,"lang":"en","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Information Science and Libraries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Institutionalisation; Construct (python library); Relation (database); Discourse analysis; Subject (documents); Association (psychology); Michel foucault; Work (physics); Field (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.00788084,0.0003581992,0.0007292812,0.01162853,0.01288351,0.01041231,0.001500523,0.0007436267,0.003139728],"category_scores_gemma":[0.01489079,0.0004197627,0.0003209922,0.02682387,0.009531759,0.002038178,0.004495952,0.001608351,0.0001818629],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1118637,"about_ca_system_score_gemma":0.2067199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9865993,"about_ca_topic_score_gemma":0.9911553,"domain_scores_codex":[0.991678,0.001307208,0.0002841008,0.0005473793,0.003577494,0.002605833],"domain_scores_gemma":[0.9856313,0.003808796,0.001208199,0.0007575009,0.006901467,0.001692611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009828073,0.00004058502,0.09106611,0.0005321921,0.00004433143,0.0006336684,0.6532944,0.0005166552,0.001178799,0.154536,0.005907862,0.09215113],"study_design_scores_gemma":[0.000007165039,0.00002512985,0.2796154,0.000651942,0.00005147545,0.00024767,0.5092245,0.000606575,0.000628015,0.002491175,0.2063807,0.0000702351],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8355549,0.007914416,0.001400456,0.007051651,0.00009593606,0.000246646,0.001215436,0.00009930826,0.1464213],"genre_scores_gemma":[0.991733,0.002221904,0.000573769,0.0001106107,0.00001130843,0.00003314329,0.0001349182,0.00002633806,0.005155049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8881363,"threshold_uncertainty_score":0.811632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737468858562964,"score_gpt":0.2645206775070688,"score_spread":0.2471459889214392,"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."}}