{"id":"W2922695254","doi":"10.1561/107.00000058","title":"Machines and Artificial Intelligence","year":2019,"lang":"en","type":"article","venue":"Journal of Marketing Behavior","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Artificial intelligence; Computer science","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":[0.00168955,0.0000591155,0.0001167962,0.0001070318,0.00005425767,0.00005509403,0.0004318878,0.00005826349,0.00002769142],"category_scores_gemma":[0.0001100701,0.00004900972,0.00003864465,0.0001499293,0.00003726333,0.000121442,0.0001275054,0.0002244744,0.000007983612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001072792,"about_ca_system_score_gemma":0.00002233105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000202035,"about_ca_topic_score_gemma":0.000001106892,"domain_scores_codex":[0.9993158,0.00007460587,0.0002717791,0.000112186,0.0001263073,0.00009930691],"domain_scores_gemma":[0.9992739,0.0001892884,0.0002050557,0.0002007327,0.00009111391,0.00003991177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003058289,0.0001427867,0.05183109,0.00001314681,0.000007722998,0.00002386329,0.0001612577,0.000004354937,0.006844576,0.02630096,0.0001068306,0.9145328],"study_design_scores_gemma":[0.0004935707,0.0007953811,0.8597611,0.0002687936,0.0001256689,0.00330164,0.0005191211,0.05390831,0.01937845,0.05410204,0.006471574,0.0008744122],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715225,0.0001716524,0.02687508,0.000995387,0.000197341,0.00007162402,3.52427e-7,0.00002544477,0.0001405949],"genre_scores_gemma":[0.9722877,0.00002739895,0.02757392,0.00003847959,0.00003474988,0.000002475535,5.648844e-8,0.000003070913,0.00003217426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9136584,"threshold_uncertainty_score":0.1998558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513487215527407,"score_gpt":0.2671127471025518,"score_spread":0.2519778749472777,"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."}}