{"id":"W3185298051","doi":"10.17504/protocols.io.bnjgmcjw","title":"Manual Tracing Study: Tibetan Knot v1","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Tracing; Prime (order theory); Knot (papermaking); Computer science; Mathematics; Combinatorics; Programming language; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002370154,0.0002415779,0.0003008615,0.0001188822,0.000150637,0.0007390187,0.001058888,0.0001361907,0.00002401717],"category_scores_gemma":[0.00002531873,0.0002172658,0.00009945959,0.0001901506,0.00003354433,0.0002851791,0.001318978,0.0006884177,0.000155445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004150983,"about_ca_system_score_gemma":0.0002651635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004615165,"about_ca_topic_score_gemma":0.00001394003,"domain_scores_codex":[0.9982598,0.00008593276,0.0002727465,0.0008395763,0.0003108981,0.0002310754],"domain_scores_gemma":[0.9990551,0.00002661287,0.00015586,0.0005731058,0.0000869733,0.0001022948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000727399,0.0002096407,0.001081271,0.0002785856,0.00012019,0.000102331,0.005853224,0.000300831,0.0001858013,0.002228709,0.003105137,0.986527],"study_design_scores_gemma":[0.002620131,0.0009196104,0.01025135,0.0008273374,0.0003140485,0.0005495646,0.004345214,0.8550792,0.01821799,0.09599498,0.006417633,0.004462973],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02435812,0.000134771,0.9489138,0.002788091,0.002588752,0.0003241329,0.000001937309,0.0009290535,0.0199614],"genre_scores_gemma":[0.8868306,0.000004910733,0.1106297,0.0002126873,0.0003473465,0.00002010497,0.000003747254,0.00001504747,0.001935929],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.982064,"threshold_uncertainty_score":0.8859841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186326019132994,"score_gpt":0.2917194839487862,"score_spread":0.2598562237574562,"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."}}