{"id":"W6968636645","doi":"10.5281/zenodo.3929917","title":"You're Collating Just Fine and Other Lies You've Been Telling Yourself","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Collation; Scope (computer science); Variation (astronomy); Sample (material); Mistake","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02257954,0.001193815,0.000985065,0.005009968,0.00632554,0.006520948,0.001715907,0.001387231,0.02248709],"category_scores_gemma":[0.1290657,0.0005482202,0.0006182307,0.004492183,0.005449004,0.009214366,0.00760903,0.003145136,0.01151373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565609,"about_ca_system_score_gemma":0.003372081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001219071,"about_ca_topic_score_gemma":0.002677076,"domain_scores_codex":[0.9745657,0.01305726,0.001614554,0.002388865,0.00786336,0.0005102279],"domain_scores_gemma":[0.8550949,0.08043715,0.007705275,0.03035494,0.02387065,0.002537044],"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":[0.0004618645,0.0001314729,0.008599135,0.001796556,0.000174896,0.00210965,0.1554721,0.000788891,0.01047527,0.1472549,0.2077666,0.4649687],"study_design_scores_gemma":[0.00002442467,0.0001226158,0.002867792,0.001095368,0.00007531216,0.001439082,0.03969331,0.00154901,0.007066097,0.06963333,0.8762959,0.000137822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.1074354,0.006050643,0.5342723,0.05216539,0.02393741,0.001730493,0.004237188,0.00446442,0.2657068],"genre_scores_gemma":[0.4832488,0.004980771,0.2990603,0.008365802,0.01022979,0.001368018,0.003444152,0.005475555,0.1838268],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02257954,"threshold_uncertainty_score":0.1194134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1369972597715469,"score_gpt":0.2489389027858903,"score_spread":0.1119416430143435,"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."}}