{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006592796,0.00008689058,0.0001004036,0.00004934865,0.0000109647,0.000006330823,0.00007244551,0.0000476769,0.0003043056],"category_scores_gemma":[0.0000017878,0.00007564179,0.00002573876,0.00002509874,0.000007324742,0.0001055102,0.00001166534,0.00009475758,0.0003802295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002743169,"about_ca_system_score_gemma":0.000002580659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003079928,"about_ca_topic_score_gemma":0.000004251013,"domain_scores_codex":[0.9995822,0.000003545546,0.00009017283,0.00009083211,0.00006189959,0.0001713711],"domain_scores_gemma":[0.9998046,0.00001286819,0.000009375127,0.0001347174,0.000009834876,0.00002864184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000293855,0.00005703011,0.03693751,0.0002991198,0.0001616978,0.000009623425,0.0001291721,0.008773783,0.843086,0.008504196,0.04621279,0.05579968],"study_design_scores_gemma":[0.0004163342,0.00006541281,0.003280669,0.00002524576,0.000007961249,0.000004645404,0.0000160744,0.0005196904,0.8830434,0.001564458,0.1108021,0.0002540029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.472005,0.0004419684,0.0454197,0.00006984568,0.0004269761,0.0005150468,0.000001727403,0.002844661,0.478275],"genre_scores_gemma":[0.9830112,0.00004200718,0.010656,0.00006736529,0.00002740201,0.00001370793,0.000003266615,0.00002018595,0.00615891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5110061,"threshold_uncertainty_score":0.4887207,"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."}}