{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001213709,0.001131927,0.0008225046,0.003549682,0.0009728085,0.002325698,0.001799231,0.001237524,0.8919491],"category_scores_gemma":[0.03352414,0.0005172431,0.00113535,0.0045347,0.0002960717,0.001640279,0.001422762,0.000949964,0.2634302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009129,"about_ca_system_score_gemma":0.00231032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01819045,"about_ca_topic_score_gemma":0.03762913,"domain_scores_codex":[0.9991922,0.000146672,0.0001105194,0.0001966576,0.0002287699,0.0001251268],"domain_scores_gemma":[0.9642532,0.02575953,0.001846615,0.001320684,0.005941061,0.0008788441],"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":[0.0003140235,0.00007989211,0.003165075,0.00166079,0.00004708522,0.00005014777,0.0000838699,0.0003097198,0.00009058118,0.0007297498,0.9768249,0.01664427],"study_design_scores_gemma":[0.002013159,0.0003820114,0.1000885,0.006249418,0.0002067977,0.0007633095,0.001261553,0.002350997,0.0008072217,0.01488329,0.8707569,0.0002369056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007165973,0.00005359,0.0004301282,0.0001567303,0.0001476465,0.00006806031,0.9944806,0.0004941398,0.003452514],"genre_scores_gemma":[0.01437263,0.000315586,0.0076714,0.0007269057,0.0002108147,0.001333504,0.9428451,0.00136766,0.03115642],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8919491,"threshold_uncertainty_score":0.1541215,"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."}}