{"id":"W4247321453","doi":"10.21971/pi29357","title":"Editor's Note","year":2019,"lang":"en","type":"article","venue":"Crossing boundaries","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"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":[0.0002891125,0.0001838716,0.0002108703,0.0000738846,0.007164324,0.06544514,0.0002255747,0.0001064794,0.0005015566],"category_scores_gemma":[0.0001832373,0.0001776949,0.00007659939,0.000229598,0.01110019,0.0006466814,0.0001030896,0.0002121156,0.02157127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800733,"about_ca_system_score_gemma":0.003255997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002193473,"about_ca_topic_score_gemma":0.0001014309,"domain_scores_codex":[0.9985979,0.00003176936,0.0001985979,0.0003220869,0.0003824611,0.0004672462],"domain_scores_gemma":[0.9991293,0.00006740437,0.0001009123,0.0005064475,0.0001309342,0.00006499539],"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":[0.0004476958,0.0001777541,0.06473936,0.0002025798,0.0001064675,0.00003476417,0.04169554,0.000346296,0.1579231,0.03170641,0.6961944,0.006425688],"study_design_scores_gemma":[0.0004116506,0.0000295636,0.005286142,0.00004053486,0.00001079306,0.000008543595,0.00007559111,0.0003538255,0.004703821,0.001703312,0.987133,0.0002432262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651413,0.000231771,0.001045212,0.0001868413,0.02570765,0.000165646,0.00005230924,0.0006530223,0.00681623],"genre_scores_gemma":[0.9848686,6.604947e-8,0.00255543,0.0001963665,0.004960365,0.000004266695,0.00001718825,0.00009872472,0.007298963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2909387,"threshold_uncertainty_score":0.9941282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009678510262497378,"score_gpt":0.2824072304167229,"score_spread":0.2727287201542256,"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."}}