{"id":"W2891544811","doi":"10.5281/zenodo.1292119","title":"mlpack 3.0.2","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Python (programming language); Computer science; Programming language; Artificial intelligence; Interface (matter); Operating system; Software engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.002218464,0.002363552,0.00228126,0.001904885,0.001024349,0.003540773,0.007401437,0.002088367,0.1559709],"category_scores_gemma":[0.007530794,0.002189926,0.002274471,0.001605397,0.0007071667,0.002868328,0.003424059,0.005328962,0.1367682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009781679,"about_ca_system_score_gemma":0.00284908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003788032,"about_ca_topic_score_gemma":0.0034755,"domain_scores_codex":[0.9982987,0.0002585579,0.0001761222,0.0003302534,0.0006977942,0.0002386772],"domain_scores_gemma":[0.9979918,0.0006587367,0.0001758506,0.0003389342,0.0006512957,0.000183502],"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":[0.0005737725,0.00013249,0.001235506,0.001810957,0.0002920017,0.0002430071,0.000161295,0.01717983,0.00425953,0.02046814,0.8508425,0.1028011],"study_design_scores_gemma":[0.0003337071,0.0001102205,0.001214544,0.0003895917,0.0001214286,0.0003877366,0.00006939678,0.1295727,0.02465371,0.0406555,0.8022088,0.0002826935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002464503,0.001046765,0.2719481,0.000898781,0.0006708615,0.0003197702,0.04105629,0.6498237,0.03177126],"genre_scores_gemma":[0.0359754,0.001925607,0.3340747,0.003328632,0.0003553711,0.002672612,0.1279821,0.3978449,0.09584071],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1559709,"threshold_uncertainty_score":0.5217745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03573291849686549,"score_gpt":0.2614839124017291,"score_spread":0.2257509939048636,"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."}}