{"id":"W6980031326","doi":"","title":"Are NYS high school graduates “college & career ready”?: Geographical patterns by school district type and resources","year":2018,"lang":"en","type":"report","venue":"eCommons (Cornell University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"School district; School teachers; Type (biology); Urban district; Quarter (Canadian coin)","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":[0.00057642,0.000237662,0.0002587548,0.002528302,0.001198907,0.001543518,0.001015656,0.0005359059,0.02337209],"category_scores_gemma":[0.002559531,0.0003339199,0.0003025061,0.004903307,0.0005151483,0.001552813,0.002124327,0.0007631708,0.00445908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151802,"about_ca_system_score_gemma":0.004079242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2837307,"about_ca_topic_score_gemma":0.5599989,"domain_scores_codex":[0.9994441,0.0000524406,0.00004485632,0.00005964641,0.0001635106,0.0002355747],"domain_scores_gemma":[0.9955812,0.0003254453,0.001500912,0.0001326683,0.001168489,0.001291386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007266083,0.00009730384,0.9493323,0.00006846043,0.00002251922,0.00009346908,0.001361358,0.00006944157,0.0001771672,0.0004969773,0.04090087,0.00730748],"study_design_scores_gemma":[0.000004832753,0.00001375025,0.9842918,0.00004113152,0.000007607013,0.00003480412,0.007124159,0.00003830984,0.00007066521,0.00002893856,0.008338667,0.000005290785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8460488,0.0005473078,0.0001996721,0.003517501,0.00006855471,0.0001708011,0.1151078,0.0001218601,0.03421757],"genre_scores_gemma":[0.8780136,0.001394459,0.0004125833,0.000560278,0.00009847351,0.0004417755,0.07207215,0.00008048341,0.04692619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2837307,"threshold_uncertainty_score":0.5641583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05557820171854416,"score_gpt":0.2275972954822,"score_spread":0.1720190937636558,"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."}}