{"id":"W4200365521","doi":"10.35542/osf.io/bcjme","title":"An Instrument for Measuring Teachers’ Trust in AI-Based Educational Technology","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemistry; Council for Higher Education; Azrieli Foundation; Weizmann Institute of Science","keywords":"Transparency (behavior); Psychology; Exploratory factor analysis; Knowledge management; Process (computing); Computer science; Artificial intelligence; Psychometrics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003559297,0.0001704856,0.0002339182,0.0004368092,0.00005750062,0.0002376184,0.001029244,0.0002648617,0.00002554148],"category_scores_gemma":[0.0001208602,0.0001755831,0.00008762304,0.000306928,0.00003072263,0.0001062924,0.000356758,0.0006641269,0.000003352157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001716655,"about_ca_system_score_gemma":0.001281282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008436726,"about_ca_topic_score_gemma":0.000130474,"domain_scores_codex":[0.9986076,0.00005317514,0.0002688244,0.0006365777,0.000192572,0.0002412225],"domain_scores_gemma":[0.9989017,0.00004704112,0.00009719991,0.0007525322,0.000139396,0.00006218838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001138866,0.002784318,0.2095981,0.0004335543,0.0001459867,0.00002213408,0.002578476,0.2753131,0.001020047,0.2086273,0.0004361885,0.2990294],"study_design_scores_gemma":[0.000398519,0.00006585679,0.004432555,0.0001776028,0.000009620237,0.000003099707,0.0002440461,0.9656665,0.001140715,0.02701275,0.0005180472,0.0003307379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2074424,0.00008368053,0.689851,0.1012169,0.0005200997,0.0002441475,0.000003339773,0.0002292242,0.0004092499],"genre_scores_gemma":[0.6983901,0.000002032144,0.3008737,0.0002969366,0.00007959471,0.00005886682,0.00004457692,0.000008905768,0.0002453555],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6903534,"threshold_uncertainty_score":0.7160071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111211742762227,"score_gpt":0.3132532557952903,"score_spread":0.282141138367668,"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."}}