{"id":"W7132897556","doi":"","title":"Rise of Generative Artificial Intelligence: Insights from Secondary School Leaders","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Context (archaeology); Reflexivity; Thematic analysis; Qualitative research; Exploratory research; Secondary education; Educational leadership","routes":{"ca_aff":false,"ca_fund":true,"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":[0.006599028,0.0003290661,0.0003975313,0.001870117,0.01244441,0.007794135,0.001043286,0.001027309,0.001944112],"category_scores_gemma":[0.006275594,0.0004018459,0.0002222961,0.00134564,0.01555135,0.002802057,0.004083456,0.002634147,0.0002625691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01443585,"about_ca_system_score_gemma":0.01547102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1193101,"about_ca_topic_score_gemma":0.2598497,"domain_scores_codex":[0.9956684,0.002363136,0.0001042071,0.0002807882,0.0007421499,0.0008413074],"domain_scores_gemma":[0.9926329,0.003734213,0.0006058717,0.000215697,0.00111089,0.001700383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006910298,0.00001689487,0.004948327,0.00003164035,0.000001131832,0.0003850245,0.9889626,0.00001079837,0.0001884584,0.002546503,0.000510968,0.002390766],"study_design_scores_gemma":[0.000003158534,0.00001996592,0.004185497,0.0000598743,0.000002476402,0.00009113031,0.9769681,0.00004583828,0.0001072592,0.0006918074,0.01782002,0.000005035899],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650706,0.0005892725,0.001047696,0.00604774,0.00004735468,0.00008280514,0.00003294851,0.00001212301,0.02706939],"genre_scores_gemma":[0.994621,0.0004252089,0.0003366543,0.0004810604,0.00001178809,0.00002640827,0.00001742019,0.00001163913,0.004068878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1193101,"threshold_uncertainty_score":0.2372313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07137752384990442,"score_gpt":0.3650363185792976,"score_spread":0.2936587947293932,"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."}}