{"id":"W6992985613","doi":"","title":"From Niche to Mainstream Method? A Comprehensive Mapping of QCA Applications inJournal Articles from 1984 to 2011","year":2013,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mainstream; Niche; Key (lock); Context (archaeology)","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","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02080155,0.0003739539,0.000834605,0.0706834,0.004588052,0.0109023,0.00185566,0.001134393,0.00923361],"category_scores_gemma":[0.09595966,0.0005303384,0.0006506267,0.1039389,0.003424146,0.006603252,0.005476487,0.001488807,0.001509723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01296405,"about_ca_system_score_gemma":0.03157972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04921903,"about_ca_topic_score_gemma":0.08641732,"domain_scores_codex":[0.9814331,0.004965191,0.001906427,0.001798908,0.008222917,0.001673471],"domain_scores_gemma":[0.7713228,0.1201498,0.03351634,0.007418938,0.06064395,0.006948143],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004875606,0.000176434,0.1392042,0.009084636,0.0001190541,0.001298029,0.2460561,0.0002462651,0.006648411,0.03901437,0.03313663,0.5245284],"study_design_scores_gemma":[0.00001830314,0.0001310352,0.5429186,0.007012519,0.00009555069,0.0008870164,0.1389653,0.0008096948,0.001748241,0.003700822,0.3036308,0.00008217165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7365204,0.07546359,0.01202472,0.02466333,0.00095516,0.001526891,0.02293844,0.0005215685,0.1253859],"genre_scores_gemma":[0.9284216,0.02442658,0.0126724,0.002130674,0.0005907715,0.001623802,0.007220989,0.0006214765,0.02229167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9791985,"threshold_uncertainty_score":0.1100104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06911253051079387,"score_gpt":0.3687218466463595,"score_spread":0.2996093161355656,"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."}}