{"id":"W1547823401","doi":"","title":"Advances in Qualitative Methods 2014, Pecha Kucha Abstracts","year":2014,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods - ARCHIVE","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics education; Data science; Computer science; Psychology","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":[0.02798424,0.0008510817,0.001186001,0.005351432,0.003319865,0.007419539,0.001441799,0.00200751,0.03572821],"category_scores_gemma":[0.03483438,0.001039978,0.0007667814,0.005996972,0.00366723,0.006000938,0.005140284,0.003269761,0.007564651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005440758,"about_ca_system_score_gemma":0.01416874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003083686,"about_ca_topic_score_gemma":0.003287027,"domain_scores_codex":[0.9885367,0.005985622,0.001203131,0.000939235,0.002996845,0.0003383991],"domain_scores_gemma":[0.9736426,0.01384735,0.001135124,0.002192068,0.008075145,0.001107696],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001746776,0.0001118673,0.0005177016,0.006332994,0.00004954775,0.0002060852,0.00772273,0.0005971736,0.003722214,0.09705326,0.2323635,0.6511483],"study_design_scores_gemma":[0.00001356127,0.0000481017,0.001941935,0.004574878,0.00002542095,0.0004229721,0.003182033,0.0008039076,0.001830826,0.03100833,0.9561059,0.00004208544],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01214779,0.4446446,0.2299452,0.1126852,0.04282163,0.001835509,0.004479622,0.001643929,0.1497965],"genre_scores_gemma":[0.1075474,0.3923798,0.1818609,0.005818535,0.01150953,0.004627956,0.004831373,0.001859634,0.2895649],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9720157,"threshold_uncertainty_score":0.1479966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4381385068984629,"score_gpt":0.7119537856637437,"score_spread":0.2738152787652808,"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."}}