{"id":"W4404540118","doi":"10.5430/jct.v13n5p292","title":"Model Innovation Capability in Learning Process of Indonesian University: Determinant Analysis of Innovation Diffusion Theory","year":2024,"lang":"en","type":"article","venue":"Journal of Curriculum and Teaching","topic":"Impulse Buying and Technology Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Negeri Semarang","keywords":"Voluntariness; Structural equation modeling; Indonesian; Psychology; Knowledge management; Context (archaeology); Theory of planned behavior; Computer science; Control (management); Political science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002091904,0.00006695215,0.0003521603,0.003052763,0.00004696084,0.00001458738,0.00008039534,0.00008728015,0.000003127304],"category_scores_gemma":[0.0005185374,0.00006319912,0.00005148075,0.001768529,0.00004194298,0.0002959618,0.00002421698,0.0004009675,1.374159e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005654233,"about_ca_system_score_gemma":0.00003503256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005628808,"about_ca_topic_score_gemma":0.000007144957,"domain_scores_codex":[0.9990027,0.00003759128,0.0007195066,0.000109603,0.00004307928,0.00008755094],"domain_scores_gemma":[0.9990236,0.00005333205,0.0007440933,0.00006369594,0.0001027423,0.00001254661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002038141,0.0001135237,0.7344801,0.0001352899,0.0001465296,0.000007789645,0.002418535,0.00442934,0.001006954,0.2416615,0.000001528654,0.01557851],"study_design_scores_gemma":[0.0008361529,0.0002694083,0.295835,0.0005386287,0.0002599177,0.00002434957,0.004491329,0.6206095,0.000552904,0.07623625,0.0001016249,0.0002449739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770346,0.0002244821,0.02215854,0.00008089234,0.00004759173,0.00003492964,0.000004608201,0.000007711994,0.000406647],"genre_scores_gemma":[0.9996284,0.00003531193,0.0002929562,0.000004815975,0.000008735316,1.546273e-7,0.000002671992,0.000004610236,0.00002235503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6161802,"threshold_uncertainty_score":0.2723949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751890037257543,"score_gpt":0.2558131624985474,"score_spread":0.238294262125972,"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."}}