{"id":"W4383271016","doi":"10.23889/ijpds.v8i1.1843.review.r1.dec","title":"Editorial Decision: Student Achievement Trajectories in Ontario: Creating and validating a province-wide, multi-cohort and longitudinal database","year":2022,"lang":"en","type":"editorial","venue":"","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cohort; Database; Longitudinal data; Computer science; Data science; Statistics; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0369783,0.002747829,0.007024416,0.005949676,0.008035745,0.01819848,0.006243519,0.02070342,0.01913118],"category_scores_gemma":[0.1461306,0.00207526,0.003510261,0.004359039,0.004839453,0.004763371,0.00254331,0.01708726,0.01072275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008867281,"about_ca_system_score_gemma":0.02693966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03616574,"about_ca_topic_score_gemma":0.07835974,"domain_scores_codex":[0.974955,0.003989741,0.003759576,0.002400858,0.01344239,0.001452464],"domain_scores_gemma":[0.8240697,0.06380019,0.008346944,0.004327184,0.08010925,0.01934665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003032855,0.00001065578,0.00006434027,0.0001199016,0.00002538454,0.00004534996,0.00001527653,0.00001195509,0.00001306774,0.00009580657,0.9983861,0.001181844],"study_design_scores_gemma":[0.0004356716,0.00003818728,0.00173913,0.001736416,0.0002626523,0.0001538107,0.0002739049,0.0004263348,0.0001244382,0.001463469,0.9932801,0.00006575562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001418793,0.001176324,0.0002514514,0.08803855,0.9074597,0.0001840216,0.0008529461,0.0001158238,0.001779354],"genre_scores_gemma":[0.001607639,0.002449137,0.0007774814,0.07240546,0.9030107,0.0004292614,0.0006020722,0.0002268093,0.01849137],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9638343,"threshold_uncertainty_score":0.1955623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026376981675353,"score_gpt":0.4374365353281561,"score_spread":0.3347988371606208,"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."}}