{"id":"W2438540754","doi":"10.1364/oic.2016.wc.1","title":"OIC 2016 Manufacturing Problem Contest","year":2016,"lang":"en","type":"article","venue":"","topic":"Surface Roughness and Optical Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"CONTEST; Reflectivity; Transmittance; Filter (signal processing); Computer science; Optical filter; Materials science; Process engineering; Computer vision; Optoelectronics; Optics; Engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000615368,0.00009295257,0.00008782118,0.00001962381,0.00002000692,0.00001510499,0.0000753204,0.00003533458,0.000611315],"category_scores_gemma":[0.000008951974,0.00005175377,0.00002710859,0.00002123176,0.0000126731,0.0001150479,0.00001403861,0.0000339064,0.0008240938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003937685,"about_ca_system_score_gemma":0.000003989277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005801247,"about_ca_topic_score_gemma":0.000008003175,"domain_scores_codex":[0.9994619,0.00000472006,0.0001121561,0.00009628953,0.0001065487,0.0002183465],"domain_scores_gemma":[0.9997455,0.00003988912,0.000006380687,0.0001234255,0.00001369557,0.00007110807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002624597,0.0001002497,0.01151168,0.0002373571,0.0002363645,0.0000262007,0.0001139819,0.001653248,0.290072,0.006574534,0.01937515,0.670073],"study_design_scores_gemma":[0.001620119,0.00005379211,0.01432434,0.0003695011,0.00001820596,0.000005388156,0.00003291936,0.000702312,0.8550515,0.002220198,0.1249631,0.000638621],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.632019,0.0004101542,0.04919613,0.0006408655,0.0008026151,0.0003326957,0.000007323778,0.001452694,0.3151386],"genre_scores_gemma":[0.9954079,0.00004078571,0.002011042,0.00002513621,0.0000407599,0.00001276764,2.395401e-7,0.00002027305,0.002441049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6694344,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317122016985271,"score_gpt":0.1899993896415508,"score_spread":0.1768281694716981,"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."}}