{"id":"W6931400627","doi":"10.5281/zenodo.7443424","title":"decargroup/pykoop","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biopolymer Synthesis and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Feature (linguistics); Python (programming language); Row; Function (biology); Fourier series; Feature selection; Search engine indexing; Lasso (programming language)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001883315,0.0001622927,0.0001253374,0.0001299884,0.0009233228,0.0001780692,0.0009495069,0.0001464361,0.1059164],"category_scores_gemma":[0.00008570743,0.0001797819,0.00007672978,0.000193133,0.0001130232,0.000002296827,0.001291299,0.0001759982,0.003163481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003358445,"about_ca_system_score_gemma":0.000003931946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001905909,"about_ca_topic_score_gemma":9.819958e-7,"domain_scores_codex":[0.9987753,0.0001517872,0.0001447497,0.0004872887,0.0001997557,0.0002410977],"domain_scores_gemma":[0.999017,0.000003033128,0.0001142716,0.0006918656,0.00006864332,0.0001052096],"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":[0.000009576466,0.00006841,6.150569e-7,0.00001978495,0.0000572668,0.000001574747,0.00002119127,6.972526e-7,0.01549809,0.001067685,0.9507205,0.03253457],"study_design_scores_gemma":[0.000158225,0.00009662422,0.00001367502,0.00000868152,0.00001693585,0.00003531945,0.00006333655,0.000003290468,0.002201664,0.00001465299,0.9971856,0.0002019289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001253543,0.001172574,0.0009857183,0.000275121,0.00008336514,0.0003320807,0.0007874549,0.0003712966,0.995867],"genre_scores_gemma":[0.02217571,0.001710425,0.0006781532,0.0007055411,0.001557096,8.480673e-7,0.03571072,0.02186857,0.915593],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1027529,"threshold_uncertainty_score":0.9976127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866102861933804,"score_gpt":0.2369650061146599,"score_spread":0.2183039774953218,"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."}}