{"id":"W7073638053","doi":"","title":"Prospective Physicians’ Intention to Adopt Artificial Intelligence: A Configurational Perspective","year":2023,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Glass properties and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Variety (cybernetics); Exploratory research; Principal (computer security); Digital transformation; Exploratory analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004724177,0.0001745641,0.0001514062,0.001431705,0.00203919,0.003922766,0.0006036423,0.0007489548,0.002669836],"category_scores_gemma":[0.01465755,0.0003164991,0.0002317779,0.001186254,0.004535798,0.002359494,0.002133503,0.001471505,0.0002018454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174907,"about_ca_system_score_gemma":0.002912627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02546618,"about_ca_topic_score_gemma":0.03904117,"domain_scores_codex":[0.9977865,0.001034627,0.0001445587,0.000155397,0.0004852674,0.0003936323],"domain_scores_gemma":[0.9846156,0.00725368,0.004320423,0.0007420967,0.001226921,0.001841197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006700916,0.0002018758,0.9253733,0.00002743444,0.00001771963,0.000138643,0.06292073,0.0001908371,0.0002357526,0.003163931,0.0002062497,0.007456491],"study_design_scores_gemma":[0.000008900778,0.0001731799,0.8073947,0.00006649178,0.00001376306,0.0002053849,0.1872861,0.001121766,0.0002497094,0.00219241,0.001261876,0.0000256671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964561,0.00004844801,0.0003506003,0.0007313531,0.000002571076,0.00001447837,0.0000220804,0.000001724539,0.002372628],"genre_scores_gemma":[0.9996601,0.00003561998,0.0001099978,0.00006707932,0.000001792598,0.000004060191,0.00001222221,4.399038e-7,0.0001085646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02546618,"threshold_uncertainty_score":0.05063587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706552536810198,"score_gpt":0.2820114799033699,"score_spread":0.2549459545352679,"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."}}