{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001223641,0.00008818407,0.0002998609,0.0002163211,0.0003347554,0.00003061218,0.0002772753,0.00004988453,0.003056277],"category_scores_gemma":[0.0001772458,0.00007990583,0.00004347669,0.0004115363,0.0001875206,0.000380842,0.00007264241,0.0002536544,0.0002352777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000808383,"about_ca_system_score_gemma":0.0007116354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4507927,"about_ca_topic_score_gemma":0.8998421,"domain_scores_codex":[0.9979333,0.0004746194,0.0003843131,0.0001891371,0.0006655028,0.0003531218],"domain_scores_gemma":[0.9992766,0.0002028207,0.0001010824,0.0001137503,0.000207324,0.00009837508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002102696,0.0001278935,0.9358982,0.000002940503,0.00003898689,0.000006229602,0.05675178,0.000001947978,0.0007235295,0.00473832,0.001447104,0.0002420645],"study_design_scores_gemma":[0.0003359373,0.00002132461,0.9293855,0.00002820217,0.000002145368,2.318105e-7,0.008512773,0.00001341467,0.002296709,0.0002603521,0.05902428,0.0001191651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9277664,0.00002297558,0.0001960603,0.0002260671,0.00003070481,0.0001858008,6.736553e-7,0.00001014509,0.07156111],"genre_scores_gemma":[0.9490628,0.0000127801,0.0007039155,0.00007246283,0.00001221134,0.0000193318,0.000009342247,0.000004162676,0.05010294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4490494,"threshold_uncertainty_score":0.9978551,"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."}}