{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001959089,0.0007695162,0.0007826457,0.0009961071,0.0008351716,0.0002857743,0.000824011,0.000516528,0.004740741],"category_scores_gemma":[0.002839543,0.0008286785,0.0003429805,0.002511336,0.0009047338,0.0005582551,0.0001011698,0.001491151,0.0006541524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002020079,"about_ca_system_score_gemma":0.003734976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005861447,"about_ca_topic_score_gemma":0.0004157965,"domain_scores_codex":[0.9944739,0.0008436491,0.001213952,0.002016915,0.000896826,0.000554799],"domain_scores_gemma":[0.9961904,0.0007973426,0.00108909,0.0007354952,0.0008120181,0.0003756258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007330062,0.0008326253,0.00003881942,0.0001970809,0.00004638588,0.00001733976,0.03862458,0.0001564017,0.904443,0.01012534,0.001328935,0.04345654],"study_design_scores_gemma":[0.0001739491,0.0002999006,0.001182544,0.0003738032,0.0001665933,0.000001572337,0.1146875,0.002487854,0.8709036,0.006889394,0.002208549,0.0006247447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194538,0.0009483481,0.007984614,0.001165497,0.01862111,0.00151594,0.0001823276,0.0001036502,0.05002471],"genre_scores_gemma":[0.9462404,0.0006796649,0.0001958089,0.001399246,0.000554649,0.0001292176,0.000278019,0.00005144461,0.05047155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0760629,"threshold_uncertainty_score":0.9994164,"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."}}