{"id":"W6931222664","doi":"10.5281/zenodo.7464660","title":"decargroup/pykoop","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Troubleshooting; Control (management); Identification (biology); Noise (video); Set (abstract data type)","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":[0.002529722,0.004445884,0.002502483,0.001813492,0.002010535,0.003666036,0.006166914,0.002712564,0.3023182],"category_scores_gemma":[0.009899694,0.003513211,0.00301156,0.001745027,0.001172088,0.005480127,0.005872082,0.006057152,0.4079239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442465,"about_ca_system_score_gemma":0.002178414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003862978,"about_ca_topic_score_gemma":0.004671253,"domain_scores_codex":[0.9980391,0.0002251523,0.0001197562,0.0006239528,0.0006582799,0.0003337095],"domain_scores_gemma":[0.9970686,0.0006950739,0.0002052083,0.001205948,0.0005711285,0.0002541659],"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":[0.0003901772,0.00005060502,0.001051558,0.0006744943,0.00009540379,0.0001074779,0.0001571201,0.0009977833,0.002835001,0.002201374,0.9681014,0.02333766],"study_design_scores_gemma":[0.0003158292,0.00006613242,0.001855227,0.0001491695,0.00007713244,0.0003049307,0.00007880436,0.007685368,0.01835256,0.01321949,0.9576905,0.0002048557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001241831,0.0002762079,0.0259796,0.0003304197,0.0006392351,0.00006194498,0.0407608,0.9194862,0.01122377],"genre_scores_gemma":[0.01003969,0.0002058014,0.01886874,0.0006156512,0.00009981085,0.0003169932,0.0724183,0.8809707,0.0164644],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3023182,"threshold_uncertainty_score":0.9951584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316702218312299,"score_gpt":0.2488399276059316,"score_spread":0.2156729054228086,"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."}}