{"id":"W4406505770","doi":"10.1016/s0967-0653(98)81391-4","title":"10.1016/s0967-0653(98)81391-4","year":2000,"lang":"en","type":"article","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":"Computer science; Code (set theory); Reading (process); Programming language","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001337471,0.0001273565,0.0001626166,0.00008193171,0.00005540908,0.00004707028,0.00009005921,0.0001200465,0.9969996],"category_scores_gemma":[0.00001436491,0.0001242704,0.00006125052,0.0002305037,0.000006550245,0.00008130039,0.000009940355,0.0001302462,0.9991171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005062555,"about_ca_system_score_gemma":0.000006855133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003072063,"about_ca_topic_score_gemma":2.00494e-7,"domain_scores_codex":[0.9992894,0.00002248601,0.0001915376,0.0001366138,0.0001444446,0.0002155028],"domain_scores_gemma":[0.9996221,0.00002328968,0.00001147477,0.0002111212,0.0000224747,0.0001095536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000215248,0.000005300275,4.756558e-9,0.000005258531,0.00001163398,0.000002638528,0.0000107694,0.003098469,0.00007913064,2.166339e-7,0.3907197,0.6060453],"study_design_scores_gemma":[0.0002086293,0.00007529493,0.000002432346,0.00002089038,0.000007082312,0.0000099289,0.000001047067,0.001864366,0.0007087812,0.000001612639,0.9969403,0.0001597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007934586,0.00004554962,0.00001049037,0.00001397594,0.00001351086,0.0001752615,0.000007750996,0.0004875605,0.9984524],"genre_scores_gemma":[0.001594285,1.625272e-7,0.00002263632,0.000005875529,0.0004561549,0.00001862734,0.000004405951,0.00003451035,0.9978634],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6062205,"threshold_uncertainty_score":0.5067601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007905887626211729,"score_gpt":0.1690128251597129,"score_spread":0.1611069375335012,"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."}}