{"id":"W4389775582","doi":"10.17705/1atrr.00083","title":"Richness of IT Use Operationalization: A Conceptual Replication","year":2023,"lang":"en","type":"article","venue":"AIS Transactions on Replication Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Royal Military College of Canada; HEC Montréal","funders":"HEC Montréal","keywords":"Operationalization; Replication (statistics); Species richness; Structural equation modeling; Amazon rainforest; Key (lock); Psychology; Computer science; Data science; Biology; Epistemology; Ecology; Statistics; Mathematics; Machine learning; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05336981,0.001237927,0.00113102,0.004597328,0.002235803,0.00443792,0.002223548,0.001096167,0.004323633],"category_scores_gemma":[0.118038,0.001020266,0.002662503,0.004231391,0.009563762,0.008412794,0.008655672,0.002588964,0.0003006639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004152174,"about_ca_system_score_gemma":0.005710571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004724343,"about_ca_topic_score_gemma":0.002367332,"domain_scores_codex":[0.9587476,0.02546003,0.003928483,0.004254931,0.006601244,0.001007833],"domain_scores_gemma":[0.8747357,0.07151523,0.01007211,0.02280502,0.01944757,0.001424468],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001209617,0.001779239,0.4199701,0.003165303,0.001437052,0.0005050463,0.2173554,0.003989943,0.007474483,0.1635606,0.001984763,0.1775685],"study_design_scores_gemma":[0.001048048,0.004826655,0.5049322,0.003955685,0.002541453,0.001387617,0.2313543,0.02757069,0.009038209,0.1799816,0.03278163,0.0005819051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.902024,0.00117272,0.06430822,0.003212617,0.0001838087,0.005063071,0.0006684238,0.00008908341,0.02327824],"genre_scores_gemma":[0.9735493,0.0002451703,0.02230933,0.000187173,0.00004074975,0.00312574,0.0001800977,0.00002367381,0.0003387988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9466302,"threshold_uncertainty_score":0.2822499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5168376204469969,"score_gpt":0.5363679519231671,"score_spread":0.01953033147617023,"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."}}