{"id":"W2317981474","doi":"10.14288/1.0060322","title":"Development of data acquisition and analysis methods for chemical acoustic emission","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Data acquisition; 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":[0.0001599804,0.00002052566,0.0001350127,0.0000379407,0.00005614091,0.00001650757,0.0001362262,0.00006149522,0.00003705329],"category_scores_gemma":[0.00001797364,0.00006276876,0.00002849531,0.0001881492,0.00004256487,0.0001488753,0.000101311,0.00004388497,1.786159e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001124523,"about_ca_system_score_gemma":0.00001526339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006741378,"about_ca_topic_score_gemma":0.009616715,"domain_scores_codex":[0.999647,0.000006550784,0.00008230582,0.0001387685,0.00005458076,0.00007075327],"domain_scores_gemma":[0.9996805,0.00002491488,0.00003002336,0.0001615903,0.00006158526,0.00004144129],"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":[0.000003889531,0.00001345453,0.0004126162,0.0001170639,0.00007032524,3.934609e-7,0.0001106038,0.00004795449,0.2155269,1.978376e-7,0.0001458466,0.7835507],"study_design_scores_gemma":[0.0005373319,0.00001472492,0.5687846,0.0000616073,0.0004004492,0.000005030411,0.0005237298,0.4272874,0.0009325288,0.00006020442,0.001212234,0.0001802166],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7352046,0.00005562442,0.2645214,0.000003196906,0.00002822599,0.0000629318,0.00005313783,0.00002188731,0.00004901744],"genre_scores_gemma":[0.8829237,0.00002334546,0.1168863,0.000001555082,0.000006701388,1.760593e-7,0.0001246728,0.000004780652,0.000028776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7833706,"threshold_uncertainty_score":0.5366353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189993094105032,"score_gpt":0.233380470653685,"score_spread":0.2143811612431818,"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."}}