{"id":"W4239814067","doi":"10.21971/pi29361","title":"Editor's Note","year":2020,"lang":"en","type":"article","venue":"Crossing boundaries","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; History","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0001402005,0.0001804986,0.0002013536,0.00002980622,0.01083756,0.06752812,0.0002322126,0.00008413396,0.0001801474],"category_scores_gemma":[0.0007048644,0.0001806013,0.00007443323,0.0003193433,0.01578304,0.0005106636,0.000119526,0.0002338979,0.004601288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009246983,"about_ca_system_score_gemma":0.003163432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000985942,"about_ca_topic_score_gemma":0.00004705549,"domain_scores_codex":[0.9986868,0.00003353672,0.0002074454,0.0003241723,0.0003514111,0.0003966238],"domain_scores_gemma":[0.9993596,0.00004741022,0.00008919447,0.0002356705,0.0001117766,0.0001563348],"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":[0.0002422389,0.00003892876,0.002501303,0.00007543889,0.00003969294,0.00004998625,0.05922282,0.0001303262,0.04628053,0.005529602,0.8827083,0.003180815],"study_design_scores_gemma":[0.0003257224,0.00003687902,0.0008548226,0.00001676119,0.00001635792,0.000004208972,0.0001031204,0.001045299,0.006538829,0.0007248214,0.9901106,0.0002226085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.883512,0.001465555,0.04871144,0.01637642,0.0350684,0.0004820933,0.0004324699,0.005170917,0.008780679],"genre_scores_gemma":[0.9787874,8.989691e-8,0.004960979,0.001713924,0.01409384,0.000004463252,0.0000177412,0.0001003579,0.0003212205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1074022,"threshold_uncertainty_score":0.9961737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334228000101465,"score_gpt":0.2936833601978051,"score_spread":0.2703410801967904,"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."}}