{"id":"W1975074317","doi":"10.1590/s0102-69092013000100016","title":"Riqueza e rigor científico das abordagens qualitativas","year":2013,"lang":"pt","type":"article","venue":"Revista Brasileira de Ciências Sociais","topic":"Education and Public Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08897255,0.0007577546,0.001003816,0.009245134,0.003280352,0.01689139,0.002678279,0.002156559,0.004846744],"category_scores_gemma":[0.1096739,0.000575464,0.001141387,0.01228033,0.00507697,0.005672406,0.005299398,0.00285888,0.001053535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02140584,"about_ca_system_score_gemma":0.07704131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05822232,"about_ca_topic_score_gemma":0.07406159,"domain_scores_codex":[0.9274715,0.03467207,0.003694113,0.003218669,0.02841067,0.002532921],"domain_scores_gemma":[0.8471835,0.04740221,0.01147283,0.02042871,0.0683155,0.005197222],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001901156,0.0004044845,0.09444553,0.005397989,0.0004017522,0.0001737874,0.02499779,0.001857861,0.003625372,0.1613336,0.03554497,0.6716267],"study_design_scores_gemma":[0.00009355963,0.0006887444,0.1979942,0.01424364,0.0008148896,0.0004721317,0.0416889,0.00278199,0.007977397,0.06002714,0.6730474,0.0001699015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.237747,0.08547971,0.05545945,0.1888656,0.002212665,0.00133683,0.002210267,0.001727648,0.4249609],"genre_scores_gemma":[0.873714,0.0292818,0.07245916,0.004925982,0.0005056135,0.0005133676,0.0006985602,0.0002231377,0.01767845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9110274,"threshold_uncertainty_score":0.4705375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06358321885886037,"score_gpt":0.4006310505317203,"score_spread":0.3370478316728599,"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."}}