{"id":"W2887144195","doi":"10.4018/ijoci.2018070103","title":"The Relationship Between Education and Absence Rates for Both Sexes in Canada","year":2018,"lang":"en","type":"article","venue":"International Journal of Organizational and Collective Intelligence","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Demographic economics; Demography; Psychology; Gerontology; Medical education; Medicine; Sociology; Business; Economics; Accounting","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":[0.0007181837,0.000179208,0.0003338499,0.001696416,0.001664029,0.0009843586,0.001035837,0.0003252609,0.002924644],"category_scores_gemma":[0.00386358,0.0001832495,0.0007214493,0.002205091,0.0006038595,0.000273653,0.0007469143,0.001176495,0.0002076509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01358125,"about_ca_system_score_gemma":0.01549209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9871693,"about_ca_topic_score_gemma":0.9937875,"domain_scores_codex":[0.9990048,0.00005942208,0.00007684217,0.0001241429,0.0003337626,0.0004010524],"domain_scores_gemma":[0.9952636,0.0003278669,0.001042871,0.0001078074,0.001903567,0.001354359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000703347,0.00001778526,0.993863,0.00002038981,0.00003413765,0.00006173507,0.0003210551,0.00006335301,0.00004873722,0.0001273702,0.001151531,0.004220667],"study_design_scores_gemma":[0.0000022707,0.000007996798,0.9984562,0.00001991906,0.00001130672,0.00004187526,0.0006573754,0.0001178624,0.0000207,0.00002025558,0.0006369395,0.000007238774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874548,0.001422084,0.0001005898,0.0009921958,0.00004003001,0.00001629498,0.006271823,0.00001679841,0.003685393],"genre_scores_gemma":[0.9956107,0.0005717831,0.00008300972,0.00007613638,0.00001100184,0.000005249859,0.002087282,0.00000699387,0.001547933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01358125,"threshold_uncertainty_score":0.09853929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120339984367745,"score_gpt":0.4163846488134037,"score_spread":0.3043506503766292,"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."}}