{"id":"W7122480794","doi":"10.65264/toyc7496","title":"Article 12: Storybooks, Comic Books And Graphic Novels-Innovations In Community Corrections","year":2019,"lang":"","type":"article","venue":"Advancing Corrections Journal","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comics; Indigenous; Context (archaeology); Intervention (counseling); Work (physics)","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003001022,0.0004598988,0.0006914174,0.002023538,0.00714951,0.0006507264,0.0004576594,0.000292719,0.0009331785],"category_scores_gemma":[0.0009198877,0.0005378059,0.0003587076,0.003420723,0.0005996987,0.001498519,0.0001691597,0.004185562,0.0001606938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279621,"about_ca_system_score_gemma":0.000888963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02843444,"about_ca_topic_score_gemma":0.3261181,"domain_scores_codex":[0.9951041,0.001395471,0.00129872,0.0005163401,0.0006304579,0.001054893],"domain_scores_gemma":[0.9960932,0.001371005,0.0006992352,0.0006177563,0.0007450225,0.000473802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003494475,0.00330513,0.6120225,0.0001910328,0.0007403379,0.00005476774,0.1773372,0.02205315,0.007200225,0.003146088,0.002457536,0.1711426],"study_design_scores_gemma":[0.001605165,0.0006226107,0.04688261,0.0006524207,0.000929522,0.0004506459,0.9198318,0.01014073,0.00009909352,0.001112569,0.01676766,0.0009051369],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715465,0.000807967,0.006831069,0.0004499464,0.01062377,0.0004662992,0.00001571669,0.000103244,0.009155469],"genre_scores_gemma":[0.992522,0.002131766,0.0003626734,0.0003495752,0.0005369966,0.0000301305,0.000005415488,0.00005155313,0.004009878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7424946,"threshold_uncertainty_score":0.9999801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822730410600048,"score_gpt":0.2936817110044847,"score_spread":0.2754544068984842,"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."}}