{"id":"W4247936228","doi":"10.14322/publons.r1037817","title":"10.14322/publons.r1037817","year":2000,"lang":"en","type":"dataset","venue":"Time to knit","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metrology; Sampling (signal processing); Computer science; Data mining; Statistics; Mathematics; Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001866417,0.0003508152,0.0004445973,0.000340958,0.00007488082,0.00011847,0.0002816902,0.0006032783,0.9765352],"category_scores_gemma":[0.00005142272,0.0003553001,0.0001343201,0.0003197522,0.00001105073,0.00007075593,0.00004099495,0.0004600153,0.9884233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132177,"about_ca_system_score_gemma":0.00003003205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001178867,"about_ca_topic_score_gemma":8.415582e-7,"domain_scores_codex":[0.9986495,0.00004467519,0.0003806925,0.0002867901,0.0002913279,0.0003470494],"domain_scores_gemma":[0.9990309,0.00004694599,0.0000458236,0.0006419412,0.00005097629,0.0001833447],"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":[0.00002330141,0.000008993532,4.300829e-10,0.00003680655,0.00003853469,0.00001108361,9.222287e-7,0.0007577441,0.000006262493,9.30987e-9,0.9311339,0.06798241],"study_design_scores_gemma":[0.0001870342,0.0001066222,1.862401e-7,0.00009756457,0.00004137319,0.00002130969,2.931397e-7,0.00008560858,0.00002757468,2.893891e-7,0.9990332,0.0003990194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000001597085,0.00008090682,5.256412e-7,0.000006923412,0.00008197215,0.0002934668,0.6888849,0.0003145031,0.3103352],"genre_scores_gemma":[2.655527e-7,0.000001219884,0.000003204318,0.00001086615,0.000748239,0.00003486047,0.4077303,0.00003767699,0.5914334],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2811546,"threshold_uncertainty_score":0.9998899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007231978702022455,"score_gpt":0.1747578648982472,"score_spread":0.1675258861962247,"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."}}