{"id":"W6931616659","doi":"10.5281/zenodo.5662018","title":"decarsg/pykoop","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"","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":["insufficient_payload"],"category_scores_codex":[0.002391568,0.003810352,0.003052994,0.002828257,0.001602202,0.005116507,0.007193587,0.002923992,0.598389],"category_scores_gemma":[0.007955339,0.003078539,0.002653148,0.003035616,0.0009200129,0.005881049,0.005706689,0.007194203,0.6799429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370804,"about_ca_system_score_gemma":0.001648969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002737524,"about_ca_topic_score_gemma":0.00196768,"domain_scores_codex":[0.9984799,0.0001961715,0.0001151672,0.0003440239,0.0005593798,0.0003052721],"domain_scores_gemma":[0.9960042,0.0005875361,0.0001408594,0.002062914,0.0007893054,0.0004152745],"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":[0.0004407764,0.00006004533,0.0002752346,0.0003929524,0.00008263544,0.0001179081,0.00007779809,0.0004406881,0.002869326,0.004907139,0.9616987,0.02863676],"study_design_scores_gemma":[0.0002974411,0.00003584889,0.001143967,0.0001212646,0.0000406876,0.0002460483,0.00005010271,0.003646656,0.0140572,0.01332773,0.9669054,0.0001276562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.00152147,0.0004576322,0.0764677,0.001213687,0.002363897,0.000199172,0.1643347,0.7008368,0.05260503],"genre_scores_gemma":[0.0121295,0.00042197,0.02825397,0.0007448987,0.0005952067,0.0005054465,0.2562686,0.6259527,0.07512757],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.401611,"threshold_uncertainty_score":0.5728494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108092664897803,"score_gpt":0.2647270985701596,"score_spread":0.2436461719211815,"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."}}