{"id":"W4405099121","doi":"10.22215/etd/2024-16327","title":"A Cumulative Risks Approach to School Absenteeism: Analyzing the Complex Interplay Between & Within Risk Categories","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Youth Substance Use and School Attendance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Absenteeism; Logistic regression; Context (archaeology); Odds ratio; Confidence interval; Demography; Psychology; Odds; Environmental health; Clinical psychology; Medicine; Social psychology; Geography; Internal medicine; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001766642,0.0004841847,0.0006437871,0.0002883463,0.001445223,0.0008406658,0.001024305,0.0003896629,0.0004418785],"category_scores_gemma":[0.0005669767,0.000333487,0.0002975164,0.001354055,0.0001996909,0.0002955754,0.00007908214,0.001561939,0.001330655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002967265,"about_ca_system_score_gemma":0.0004459295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04181236,"about_ca_topic_score_gemma":0.1355061,"domain_scores_codex":[0.9963802,0.0005368194,0.0007216981,0.0008504643,0.0008815285,0.0006293545],"domain_scores_gemma":[0.9980246,0.0003455237,0.0004281574,0.0005127543,0.0003309953,0.0003580034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001358101,0.0000634483,0.07824408,0.0001697094,0.00106531,0.0000051687,0.8372613,0.0005721683,0.00002033644,0.02274396,0.05645909,0.003259699],"study_design_scores_gemma":[0.0004039967,0.00006654708,0.134993,0.0007221519,0.001451869,0.000001019912,0.7194549,0.0005000526,0.00006412313,0.03612179,0.104119,0.002101584],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6130765,0.001099225,0.004999328,0.0008168491,0.001480665,0.00158259,0.0002210445,0.0004364605,0.3762873],"genre_scores_gemma":[0.920876,0.0001327219,0.002695243,0.0001708805,0.001222758,0.0001515286,0.000850701,0.00006874141,0.07383146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3077994,"threshold_uncertainty_score":0.9999117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0970310444911189,"score_gpt":0.4077082443765396,"score_spread":0.3106771998854206,"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."}}