{"id":"W4241128676","doi":"10.14322/publons.r1035621","title":"10.14322/publons.r1035621","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":"Matching (statistics); Chain code; Code (set theory); Pixel; Computer science; Chain (unit); Artificial intelligence; Mathematics; Programming language; Statistics; Image (mathematics); Physics","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":[0.0001858684,0.0003506728,0.0004454211,0.0003409588,0.00007224717,0.0001164798,0.0002741921,0.0006042974,0.9774827],"category_scores_gemma":[0.00004042188,0.0003552902,0.00013457,0.0003346322,0.00001089939,0.00007016466,0.00004074588,0.0004596316,0.9883048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136366,"about_ca_system_score_gemma":0.00003033112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001144845,"about_ca_topic_score_gemma":8.4079e-7,"domain_scores_codex":[0.9986435,0.00004564313,0.0003835303,0.0002876047,0.0002922358,0.0003475249],"domain_scores_gemma":[0.9990521,0.00004773338,0.00004494352,0.0006318654,0.00003956105,0.0001837869],"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":[0.00002250531,0.00000896647,5.229575e-10,0.00003617505,0.00003796944,0.0000110697,9.112849e-7,0.0007537652,0.000005553657,9.908167e-9,0.9141786,0.08494448],"study_design_scores_gemma":[0.0001878796,0.0001060907,2.199608e-7,0.00009796108,0.00004124659,0.00002232168,2.689709e-7,0.0001005571,0.00002386134,2.907623e-7,0.99902,0.0003992781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000001633326,0.00008319146,6.842541e-7,0.000005915487,0.00008148458,0.0002925562,0.6877,0.0003077424,0.3115268],"genre_scores_gemma":[3.124098e-7,0.000001236379,0.000003438927,0.000007720076,0.0007377329,0.0000354795,0.4096553,0.00003778176,0.589521],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2780447,"threshold_uncertainty_score":0.9998899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007120997148260065,"score_gpt":0.1737857165802449,"score_spread":0.1666647194319849,"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."}}