{"id":"W2913117992","doi":"","title":"From Algorithms to Heuristics: Will Androids Ever Make Freudian Slips?","year":2018,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Heuristics; Computer science; Freudian slip; Algorithm; Artificial intelligence; Operating system; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003624232,0.000256029,0.0002159461,0.0003399705,0.0002729445,0.000312125,0.001203435,0.0001389246,0.0004917514],"category_scores_gemma":[0.0007937642,0.0002674686,0.00006505653,0.0007677916,0.000193461,0.0004999429,0.0002538285,0.0002786979,0.001872835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001947576,"about_ca_system_score_gemma":0.0002364187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001369599,"about_ca_topic_score_gemma":0.0002206112,"domain_scores_codex":[0.9972698,0.00007939347,0.0004880767,0.0008410194,0.0009484934,0.0003732041],"domain_scores_gemma":[0.9972072,0.0002546808,0.0001416405,0.0005444312,0.001619876,0.0002321312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003924309,0.00009564193,0.000008472416,0.000001864751,0.00001179914,0.000009324355,0.0005351357,0.0001473333,0.003230365,0.5388044,0.001065943,0.4560505],"study_design_scores_gemma":[0.00002570901,0.0004215294,0.0002111436,0.00004330229,0.000002790778,0.000004992849,0.00006950211,0.08397706,0.2129332,0.6917514,0.01017905,0.0003803069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001984977,0.000007967101,0.9868667,0.002642976,0.001028196,0.0002830138,0.0000761068,0.0004834741,0.006626639],"genre_scores_gemma":[0.8364986,0.000008365289,0.1603685,0.001922019,0.0008070767,0.00005904346,0.0000108044,0.00001650772,0.000309037],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8345137,"threshold_uncertainty_score":0.9999778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08553899886646475,"score_gpt":0.3573360199423693,"score_spread":0.2717970210759045,"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."}}