{"id":"W7092179165","doi":"10.6084/m9.figshare.30370717.v2","title":"Supplementary Material 3. Secondary Theme Frequency over Time","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Educational Innovations and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Theme (computing); Focus (optics); Intervention (counseling); Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007916045,0.0002575721,0.0002240717,0.0003924514,0.0002979457,0.0003426159,0.001410679,0.0002331122,0.9250702],"category_scores_gemma":[0.0001519498,0.0002802202,0.00008693917,0.001266326,0.00002768036,0.0004240115,0.0009409649,0.0003368577,0.002966956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001446726,"about_ca_system_score_gemma":0.001138489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005684888,"about_ca_topic_score_gemma":0.00001318113,"domain_scores_codex":[0.9982054,0.00004639744,0.0005056214,0.0006018191,0.0002049724,0.0004357536],"domain_scores_gemma":[0.9985036,0.000104068,0.0001675634,0.0008805434,0.000292716,0.00005152062],"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":[0.000002469468,0.0001143592,0.00007304145,0.0001142529,0.0000600825,0.00001035868,0.00006210161,4.483145e-7,0.0005962405,0.04338612,0.9435453,0.01203519],"study_design_scores_gemma":[0.0004894906,0.00009952165,0.008259529,0.001196955,0.00001838872,0.00001724587,0.00002567404,0.001380417,0.008162959,0.03369473,0.9461715,0.0004836087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003643999,0.0002886416,0.00006086294,0.00943904,0.001605269,0.000496947,0.9601536,0.0001576296,0.02415404],"genre_scores_gemma":[0.1976932,0.000009329936,0.0075732,0.008572917,0.000816324,0.0007011542,0.7722062,0.00004185942,0.01238575],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9221032,"threshold_uncertainty_score":0.999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184887362851813,"score_gpt":0.274042948337427,"score_spread":0.2555542120522457,"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."}}