{"id":"W6931323558","doi":"10.5281/zenodo.6390988","title":"AgnostiqHQ/covalent: v0.34.5","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Interdisciplinary Research Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agnostiq (Canada)","funders":"","keywords":"Identification (biology); Work (physics); Process (computing)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001868486,0.00289719,0.002316401,0.001853155,0.001774393,0.003891078,0.007128655,0.003994503,0.6220987],"category_scores_gemma":[0.005256891,0.002859433,0.001952341,0.001523015,0.00108466,0.00420531,0.003823254,0.004830547,0.6065252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001944947,"about_ca_system_score_gemma":0.001437966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004756739,"about_ca_topic_score_gemma":0.005309195,"domain_scores_codex":[0.998782,0.0001683426,0.00007112428,0.0002672512,0.0005295581,0.0001817064],"domain_scores_gemma":[0.9983353,0.0004068973,0.0001043297,0.0005956427,0.0003788369,0.0001789861],"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":[0.0002044983,0.00004051502,0.0002638421,0.0005806269,0.00005467315,0.00006408161,0.00005967768,0.0005385095,0.002355506,0.01011545,0.965969,0.01975375],"study_design_scores_gemma":[0.0001820647,0.00003218978,0.0004029057,0.0000971288,0.0000295981,0.0001762382,0.00002918759,0.001785964,0.01131628,0.007885048,0.9779534,0.0001100877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001433556,0.0005590058,0.07405423,0.000793374,0.001066688,0.0002627909,0.1157235,0.7019591,0.1041478],"genre_scores_gemma":[0.01888795,0.0007742501,0.03723279,0.001482997,0.0002625758,0.0008259911,0.1237488,0.6390172,0.1777675],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.6220987,"threshold_uncertainty_score":0.5390303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03650090925708113,"score_gpt":0.2645170613185432,"score_spread":0.2280161520614621,"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."}}