{"id":"W4200173135","doi":"10.1109/mias.2021.3118267","title":"Table of Contents","year":2021,"lang":"en","type":"article","venue":"IEEE Industry Applications Magazine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Table (database); Engineering; Computer science; Engineering drawing; Manufacturing engineering; Database","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005999863,0.001049301,0.0009351327,0.005274095,0.001523497,0.004142194,0.001315096,0.0009226328,0.8581389],"category_scores_gemma":[0.006619076,0.0003054969,0.0005297869,0.003642931,0.0003172356,0.001863284,0.001536307,0.001109211,0.8313493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535726,"about_ca_system_score_gemma":0.002898466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004674012,"about_ca_topic_score_gemma":0.007169988,"domain_scores_codex":[0.9994134,0.00006488196,0.00002828879,0.00009503547,0.0003464157,0.00005201419],"domain_scores_gemma":[0.9965306,0.0006112187,0.0001353685,0.0002935022,0.001912309,0.0005170329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001156762,0.00002458606,0.0001017505,0.000120083,0.000002482716,0.00001334166,0.000007527737,0.00007581112,0.0001089643,0.0008110295,0.9543951,0.0443279],"study_design_scores_gemma":[0.000005205677,0.00001249008,0.0003292976,0.000166065,0.000003600815,0.00002682226,0.00002155805,0.00005630647,0.00009832495,0.0008864238,0.9983889,0.000005056208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004513586,0.003342876,0.002481968,0.003105345,0.009221723,0.0005717435,0.0442366,0.002192086,0.9343963],"genre_scores_gemma":[0.001598774,0.003036974,0.001412955,0.00220567,0.002444618,0.0003600157,0.03009987,0.0009120545,0.957929],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1418611,"threshold_uncertainty_score":0.2023475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06131537507388053,"score_gpt":0.2399737419388401,"score_spread":0.1786583668649596,"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."}}