{"id":"W4399881671","doi":"10.1109/mts.2024.3402708","title":"When Not to Use AI","year":2024,"lang":"en","type":"article","venue":"IEEE Technology and Society Magazine","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007199541,0.0001135323,0.00016199,0.0001132714,0.0006168422,0.0003407285,0.000205305,0.0006198408,0.00007105288],"category_scores_gemma":[0.0003780289,0.0001096603,0.00009703485,0.0006353953,0.0008243927,0.0004271152,0.00006625039,0.000607414,0.0001994814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000652823,"about_ca_system_score_gemma":0.0001662294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002845654,"about_ca_topic_score_gemma":0.0005028393,"domain_scores_codex":[0.9989528,0.00003729335,0.0001333536,0.0002812964,0.0002136104,0.0003816296],"domain_scores_gemma":[0.9993485,0.0001907752,0.00001719047,0.0001573699,0.0001448476,0.0001412758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005242303,0.00002605471,0.0004697563,0.0000281536,0.00007668462,0.00002128063,0.0440123,9.450807e-7,0.003738985,0.6792283,0.2603758,0.01201651],"study_design_scores_gemma":[0.0001166946,0.00008232969,0.0007622274,0.0000547924,0.00002883067,0.000002729911,0.003060012,0.00006338928,0.0004855147,0.1436062,0.8515074,0.0002299284],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4239393,0.0005329176,0.001594225,0.5581467,0.001217655,0.0003566441,0.00002954335,0.001480215,0.01270279],"genre_scores_gemma":[0.9700217,0.0009270279,0.002052227,0.01060913,0.0002448924,0.00001115977,0.000001249069,0.00001691437,0.01611576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5911316,"threshold_uncertainty_score":0.478078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03530052300553576,"score_gpt":0.3578200434755679,"score_spread":0.3225195204700321,"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."}}