{"id":"W4286424218","doi":"10.1007/s42330-022-00216-3","title":"Developing a Mobile Learning Acceptance Scale for Mathematics","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Science Mathematics and Technology Education","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Balikesir Üniversitesi","keywords":"Unified theory of acceptance and use of technology; Expectancy theory; Scale (ratio); Psychology; Mathematics education; Construct (python library); Social influence; Mobile device; Social psychology; Knowledge management; Computer science; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003483186,0.00009557432,0.0002355011,0.002500443,0.001507682,0.0001770033,0.001204742,0.0000771308,0.0001062814],"category_scores_gemma":[0.002212468,0.00008330286,0.00004369294,0.002500365,0.001012882,0.000279587,0.0001044002,0.0003592382,0.000004911897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002771336,"about_ca_system_score_gemma":0.004189989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001818786,"about_ca_topic_score_gemma":0.0001881939,"domain_scores_codex":[0.9983954,0.00001582098,0.0006064793,0.0002223182,0.0004664658,0.0002934524],"domain_scores_gemma":[0.9977782,0.0001601298,0.0006670699,0.0002759653,0.0009327697,0.0001858872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004720513,0.0002891869,0.06375434,0.00004831024,0.0000161514,0.00000944916,0.01581248,0.0001690982,0.005134362,0.6562307,0.003034706,0.2554964],"study_design_scores_gemma":[0.0003166084,0.0003840501,0.002436206,0.00006809651,0.00003170265,0.001356284,0.2157386,0.002271071,0.001753445,0.7145719,0.06078346,0.000288551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768047,0.0003193113,0.01740874,0.004327387,0.0006268945,0.0002559317,0.000004743371,0.00002282834,0.0002295096],"genre_scores_gemma":[0.87023,0.000009264025,0.1291538,0.0000742758,0.00001761653,0.0000654247,4.318217e-7,0.000008092437,0.0004410353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2552079,"threshold_uncertainty_score":0.9997922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06209423396201186,"score_gpt":0.3693226206834908,"score_spread":0.307228386721479,"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."}}