{"id":"W2143108759","doi":"10.1109/ccece.1993.332255","title":"Applying digital image technology to pulp and paper","year":2002,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Newsprint Company (Canada)","funders":"","keywords":"Reel; Paper machine; Trimming; Mill; Computer science; Calipers; Engineering drawing; Impression; Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002673006,0.0000617855,0.00007669739,0.0001101311,0.00003198511,0.00006822288,0.0000272581,0.00008424057,0.0001885237],"category_scores_gemma":[0.00001841982,0.00005343963,0.00001336268,0.0001831447,0.000007195851,0.0001477214,0.00001798509,0.00007139557,0.0003890033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001319393,"about_ca_system_score_gemma":4.307505e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003972757,"about_ca_topic_score_gemma":0.000001599211,"domain_scores_codex":[0.9996561,0.00000169239,0.00009391255,0.00008603193,0.00004817808,0.0001140329],"domain_scores_gemma":[0.9998468,0.000008957763,0.000004860947,0.00008743679,0.00001090266,0.00004103312],"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":[0.000003128504,0.000009403278,0.0003540628,0.00001995308,0.00001919749,0.00001116211,0.0001054187,0.0001785707,0.09037645,0.0005326407,0.01767647,0.8907136],"study_design_scores_gemma":[0.0005621025,0.000131336,0.0001600124,0.00003326844,0.000005951242,0.0001215577,0.0005534586,0.01065879,0.02606385,0.0002319288,0.9610675,0.0004102345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6645814,0.0003257283,0.02708411,0.0003350894,0.0007498942,0.0008974505,0.000007268856,0.002060401,0.3039586],"genre_scores_gemma":[0.9985856,0.000004091686,0.0002459449,0.00003023718,0.00007204324,0.00004892545,2.063664e-7,0.00001192164,0.001000988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.943391,"threshold_uncertainty_score":0.499998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108231896057832,"score_gpt":0.2083756136998941,"score_spread":0.1975524240941109,"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."}}