{"id":"W4393462810","doi":"10.5281/zenodo.4276552","title":"NPRI data for open IO Canada","year":2020,"lang":"en","type":"dataset","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006620239,0.002032873,0.001491223,0.005652826,0.001576441,0.003056979,0.003212284,0.001550171,0.07205416],"category_scores_gemma":[0.005879653,0.00082062,0.001431659,0.01542888,0.0006710194,0.001800672,0.00198153,0.002300045,0.07970839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007568665,"about_ca_system_score_gemma":0.02046641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7431285,"about_ca_topic_score_gemma":0.8313901,"domain_scores_codex":[0.9986119,0.00007639962,0.0001033216,0.0003153055,0.000491765,0.0004012693],"domain_scores_gemma":[0.9958395,0.0003595614,0.0002556779,0.000594103,0.002485618,0.0004655391],"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":[0.00002217977,0.000005275826,0.0003009067,0.0001817464,0.00001132654,0.0000079059,0.000009083414,0.00009903846,0.00002935623,0.0002979463,0.9982305,0.00080481],"study_design_scores_gemma":[0.00007797642,0.000005069116,0.004383531,0.0002265063,0.00002156896,0.00002731214,0.00007576663,0.000234456,0.0001862085,0.0006344222,0.9941005,0.00002677195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005185823,0.00004141519,0.00001788051,0.00003957684,0.00001434987,0.000004093337,0.9990171,0.0001363445,0.0006773997],"genre_scores_gemma":[0.0001995407,0.00004458181,0.00007682636,0.00002735897,0.000003830094,0.00001733793,0.9988019,0.00004780043,0.0007807884],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2568715,"threshold_uncertainty_score":0.5167686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03137076904340503,"score_gpt":0.2662491858258907,"score_spread":0.2348784167824857,"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."}}