{"id":"W6892603833","doi":"10.5281/zenodo.10480413","title":"AgnostiqHQ/covalent: v0.232.0","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agnostiq (Canada)","funders":"","keywords":"Documentation; Asset (computer security); Executor; struct; Covalent bond","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":[0.001496932,0.002257394,0.001249345,0.002135534,0.001566039,0.007061287,0.004325994,0.002817056,0.8808784],"category_scores_gemma":[0.01261892,0.001546043,0.001245155,0.001939627,0.0009627407,0.005634565,0.005491816,0.002442427,0.9330634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630075,"about_ca_system_score_gemma":0.001878349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007761759,"about_ca_topic_score_gemma":0.005231474,"domain_scores_codex":[0.9988111,0.0001838628,0.00007568076,0.0002119969,0.0005044021,0.0002128975],"domain_scores_gemma":[0.9960948,0.0004955842,0.0001479016,0.001210594,0.00156836,0.0004827548],"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":[0.00006964011,0.0000210566,0.00008355292,0.0001479455,0.000005103638,0.00003364851,0.00003349796,0.0001284861,0.0002590874,0.00178552,0.9744601,0.02297236],"study_design_scores_gemma":[0.00003734279,0.00001965248,0.0001406857,0.00006383187,0.000003885171,0.00007106184,0.00002586223,0.0002418439,0.0005345015,0.001375307,0.9974645,0.00002148772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.0004254098,0.000413449,0.01726401,0.001286349,0.001390107,0.000629285,0.04576362,0.3979387,0.534889],"genre_scores_gemma":[0.007180242,0.000665826,0.008924735,0.001550943,0.0004436441,0.0007541003,0.06330103,0.1870031,0.7301764],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.8808784,"threshold_uncertainty_score":0.1699123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03571783072468412,"score_gpt":0.2616593193319982,"score_spread":0.225941488607314,"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."}}