{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003657338,0.001052003,0.001212114,0.003074332,0.002515856,0.01003923,0.001197884,0.004402881,0.009020279],"category_scores_gemma":[0.005714961,0.0003546297,0.0006710636,0.002180575,0.03087701,0.009648385,0.003506017,0.004967616,0.002331709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004691511,"about_ca_system_score_gemma":0.002802543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002275944,"about_ca_topic_score_gemma":0.001424938,"domain_scores_codex":[0.9950743,0.002672851,0.0002394555,0.0006771598,0.001041677,0.0002945845],"domain_scores_gemma":[0.9954429,0.003110343,0.0002561517,0.0006258606,0.0003672642,0.0001974587],"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":[0.000007040563,0.000007288939,0.0001739802,0.0001428154,0.00001502661,0.00003693067,0.0005717305,0.0003519049,0.00005845368,0.9793876,0.008607512,0.01063982],"study_design_scores_gemma":[0.000005803774,0.00001129464,0.0002666775,0.0001945944,0.00000458554,0.00008928448,0.0002638727,0.0003692255,0.00006075181,0.8768325,0.1218925,0.000008738534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006996654,0.2439895,0.03604565,0.09129179,0.003505334,0.0001296977,0.0002786116,0.0003173338,0.6174456],"genre_scores_gemma":[0.6504782,0.1744961,0.03922387,0.02667344,0.01217062,0.0006997881,0.000548228,0.0002976565,0.09541206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01003923,"threshold_uncertainty_score":0.03403944,"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."}}