{"id":"W6912885081","doi":"10.5281/zenodo.6879251","title":"AgnostiqHQ/covalent: v0.150.0","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agnostiq (Canada)","funders":"","keywords":"Identification (biology); Table (database); Work (physics); Key (lock)","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":[0.001889374,0.002785519,0.001566345,0.002301704,0.001315743,0.005865174,0.006763425,0.003089714,0.6206441],"category_scores_gemma":[0.00454949,0.002307208,0.001269324,0.002210868,0.0008444677,0.004254438,0.004198568,0.002548845,0.7886298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172808,"about_ca_system_score_gemma":0.00116727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005997151,"about_ca_topic_score_gemma":0.004201262,"domain_scores_codex":[0.9987845,0.0001000886,0.00009398184,0.0003028478,0.0005333846,0.0001852222],"domain_scores_gemma":[0.9972641,0.0002495476,0.0001367524,0.001309194,0.0007083233,0.0003321415],"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":[0.0002222784,0.00004919692,0.0002257969,0.0002716755,0.00002787957,0.00004243006,0.00002728482,0.0002157414,0.002441759,0.004796644,0.9614524,0.0302269],"study_design_scores_gemma":[0.00008305974,0.00002931664,0.0002989553,0.00004020055,0.00001352719,0.0001090268,0.00001251796,0.0005112846,0.006928537,0.002280665,0.9896389,0.00005395829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0007543442,0.0004876073,0.03380556,0.0005101892,0.0007200673,0.0002773718,0.09757094,0.6757447,0.1901293],"genre_scores_gemma":[0.01713104,0.0007973834,0.02172508,0.001463218,0.0003882836,0.0005965535,0.2816898,0.3094032,0.3668056],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.6206441,"threshold_uncertainty_score":0.5411052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03257841377682483,"score_gpt":0.2481660852224233,"score_spread":0.2155876714455985,"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."}}