{"id":"W2052603910","doi":"10.1145/1459359.1459596","title":"Ghosts in the machine","year":2008,"lang":"en","type":"article","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta University of the Arts","funders":"","keywords":"Phenomenon; Computer science; Speech recognition; Human–computer interaction; Physics","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":[0.0001103647,0.00002938988,0.00003659549,0.00001994202,0.00009055058,0.000005070492,0.0003106699,0.0000120704,0.00001286401],"category_scores_gemma":[0.00001253892,0.00001577425,0.00001189754,0.0001366797,0.00003753575,0.00006435024,0.0000545701,0.00005293109,0.0001049268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001487407,"about_ca_system_score_gemma":0.000006221295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009899596,"about_ca_topic_score_gemma":0.0000608492,"domain_scores_codex":[0.9997072,0.00003236942,0.0000434038,0.0000766653,0.00005330473,0.00008702316],"domain_scores_gemma":[0.9997558,0.00006417555,0.00000582823,0.0001623178,0.000005449923,0.000006417867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007075139,0.0001723664,0.3418758,0.000003057723,0.00002048311,0.0007018579,0.02433657,0.0000642309,0.00001458049,0.5131108,0.05987798,0.05981522],"study_design_scores_gemma":[0.0001507067,0.00003341631,0.9720248,8.666029e-7,3.843047e-7,0.000195495,0.00005023716,0.002204917,0.00005276796,0.004308949,0.02092245,0.0000550238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.688336,0.001117753,0.08941682,0.04349955,0.0003904271,0.0001292959,2.587225e-7,0.0001447162,0.1769652],"genre_scores_gemma":[0.9922108,0.00002980768,0.002215593,0.004881113,0.0000117665,0.000002571463,9.881469e-8,5.052735e-7,0.0006477532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.630149,"threshold_uncertainty_score":0.1348657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455213807713491,"score_gpt":0.2246316017258831,"score_spread":0.2000794636487482,"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."}}