{"id":"W4295935390","doi":"10.48009/3_iis_2022_109","title":"A MACHINE-LEARNING APPROACH FOR RESEARCH MODEL CREATION IN THEORY BUILDING RESEARCH","year":2022,"lang":"en","type":"article","venue":"Issues in Information Systems","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Management science; Artificial intelligence; Mathematics education; Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02941817,0.0001034727,0.0001836639,0.001983725,0.0007110882,0.0005379123,0.001022456,0.00005567211,0.000004588228],"category_scores_gemma":[0.0007219773,0.000104167,0.00003374033,0.001882377,0.00005687005,0.001245374,0.0009309332,0.0009193157,0.00002695373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990019,"about_ca_system_score_gemma":0.00008745293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004937413,"about_ca_topic_score_gemma":0.000005974704,"domain_scores_codex":[0.9954341,0.002044729,0.0005789631,0.0002714384,0.001150651,0.0005200976],"domain_scores_gemma":[0.9985262,0.0005879211,0.0001165284,0.0004009425,0.0003233941,0.00004505037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002176708,0.00003118076,0.0002976211,0.0001364757,0.000003135079,5.951578e-7,0.0209148,0.5680275,0.00000525634,0.4050204,0.0005297814,0.005011484],"study_design_scores_gemma":[0.0003916341,0.00009496794,0.00002314161,0.00005073025,5.345074e-7,0.000002717398,0.01295353,0.9123338,0.00001096424,0.003571668,0.07046511,0.0001012136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003277503,0.0007503798,0.8887519,0.0003672313,0.0002550783,0.001620321,0.000003968342,0.000152066,0.1048216],"genre_scores_gemma":[0.9804133,0.00002127788,0.01356709,0.00001655157,0.00006061548,0.001698169,0.00003946317,0.00001034077,0.004173238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9771358,"threshold_uncertainty_score":0.9994183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1018116871240847,"score_gpt":0.406909128461796,"score_spread":0.3050974413377113,"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."}}