{"id":"W4412073779","doi":"10.29173/isotl894","title":"SoTL in 60: Session 10","year":2025,"lang":"en","type":"article","venue":"Imagining SoTL","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Session (web analytics); Computer science; Psychology; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003397609,0.0001143289,0.0001888729,0.0005072557,0.00009553194,0.0001096414,0.0001984643,0.0001003127,0.0001831221],"category_scores_gemma":[0.0001786702,0.0001085102,0.00003529852,0.0006915398,0.00003930809,0.0003904724,0.0001642728,0.0002174135,0.0004632031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003861454,"about_ca_system_score_gemma":0.00004858396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004518742,"about_ca_topic_score_gemma":0.0006011465,"domain_scores_codex":[0.9990617,0.00001062156,0.0002725556,0.000250486,0.00009945611,0.0003051976],"domain_scores_gemma":[0.9995604,0.00003042148,0.00009029487,0.000237132,0.00007545622,0.000006335274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004080194,0.0001098859,0.2580046,0.0007752912,0.00002250798,0.0001660049,0.0001292251,0.00001943143,0.00125387,0.2794197,0.05584671,0.404212],"study_design_scores_gemma":[0.0004840498,0.000004276947,0.0191149,0.0003166498,0.000006286665,0.000001485235,0.0003533917,0.002048283,0.00008030325,0.005773983,0.971672,0.0001444061],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6309751,0.0007571385,0.0009993727,0.07336768,0.002567962,0.0004557518,0.000001456206,0.00108378,0.2897918],"genre_scores_gemma":[0.994938,0.000003388151,0.0001672218,0.002324091,0.0002914478,0.00002378062,0.000006205386,0.00001535728,0.002230471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9158252,"threshold_uncertainty_score":0.6831016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355695748380094,"score_gpt":0.2863441265154574,"score_spread":0.2727871690316565,"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."}}