{"id":"W7095368160","doi":"","title":"FINDING COMMON GROUND: Character Development in Ontario Schools, K–12 Table of Contents","year":2008,"lang":"en","type":"article","venue":"","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Table of contents; Character (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":[0.001070403,0.0001865087,0.0004028073,0.003302428,0.008994537,0.003811775,0.0009741181,0.0004550328,0.02185598],"category_scores_gemma":[0.005852879,0.0002828503,0.0002644753,0.009495328,0.002702352,0.001557391,0.002331092,0.0004776769,0.001282935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02966927,"about_ca_system_score_gemma":0.04925933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9155086,"about_ca_topic_score_gemma":0.9766368,"domain_scores_codex":[0.998727,0.0001566073,0.00008534485,0.0001506855,0.0005594232,0.000320829],"domain_scores_gemma":[0.9942001,0.0009258151,0.0008487505,0.0002369963,0.002376435,0.001411953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002094311,0.00008349396,0.2700675,0.001452234,0.00002836951,0.0006956898,0.5135646,0.0001537052,0.001787703,0.008683928,0.0620532,0.1412202],"study_design_scores_gemma":[0.000004329481,0.0000396491,0.7045794,0.0004412242,0.00001331114,0.00008708644,0.2234399,0.00005154281,0.0002813191,0.0003840377,0.07065457,0.0000237799],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8670593,0.003158692,0.0003534126,0.003802574,0.0001666711,0.0002662369,0.006431723,0.00004625577,0.118715],"genre_scores_gemma":[0.9517109,0.002109057,0.0006606395,0.0001532968,0.00001966335,0.0001299949,0.001907732,0.00003092653,0.04327796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08449137,"threshold_uncertainty_score":0.2152666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3063435822613068,"score_gpt":0.4269111915727667,"score_spread":0.1205676093114599,"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."}}