{"id":"W2948194758","doi":"10.1364/oic.2019.wc.1","title":"OIC 2019 Manufacturing Problem Contest","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"CONTEST; Transmittance; Filter (signal processing); Computer science; Optics; Physics; Computer vision; Political 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":[0.01878226,0.001518233,0.001766151,0.002016694,0.007399146,0.0104751,0.003412398,0.01022059,0.08702372],"category_scores_gemma":[0.01836069,0.0006440848,0.001627326,0.001697808,0.001809236,0.002676117,0.004431621,0.004224726,0.0358002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004469273,"about_ca_system_score_gemma":0.01019497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008517848,"about_ca_topic_score_gemma":0.01313607,"domain_scores_codex":[0.9782782,0.002402108,0.0005999052,0.001529598,0.01388665,0.003303666],"domain_scores_gemma":[0.9756977,0.003200142,0.001089179,0.002009665,0.01354189,0.004461491],"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":[0.0007603384,0.0004142037,0.0009903824,0.0003436777,0.00003981467,0.001034843,0.0001983854,0.002222938,0.007573933,0.02854047,0.89771,0.06017097],"study_design_scores_gemma":[0.00006485776,0.0001845215,0.0009583966,0.000109678,0.00001379168,0.0003545841,0.0002824664,0.002417856,0.003828899,0.005172438,0.986573,0.00003953695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04228193,0.006189829,0.08869719,0.1488663,0.08030917,0.003121878,0.01059449,0.004759672,0.6151795],"genre_scores_gemma":[0.1823431,0.001911405,0.07253651,0.03973855,0.01073577,0.001772675,0.02226501,0.003376464,0.6653205],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08702372,"threshold_uncertainty_score":0.2911233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005916630814064466,"score_gpt":0.1932061343182595,"score_spread":0.187289503504195,"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."}}