{"id":"W4393448279","doi":"10.5281/zenodo.4276553","title":"NPRI data for open IO Canada","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Database","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.0009853275,0.0002693846,0.0003654213,0.0001005365,0.001956483,0.004622652,0.0236858,0.0001126584,0.001017261],"category_scores_gemma":[0.0009872712,0.0002868406,0.00004441837,0.000617597,0.00005126526,0.0004511773,0.02191766,0.0004132805,0.004458587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002247259,"about_ca_system_score_gemma":0.0001162924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01694727,"about_ca_topic_score_gemma":0.0007882663,"domain_scores_codex":[0.9969332,0.0003848445,0.0004225234,0.00117114,0.0005820489,0.0005063075],"domain_scores_gemma":[0.9959427,0.00007692946,0.0002960409,0.002872956,0.0004921663,0.0003191816],"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":[0.00001569392,0.00004058316,3.004232e-8,0.0001731731,0.00006181365,0.00003049107,0.00003865151,0.00004793628,0.000002977175,0.0007049207,0.9922209,0.006662786],"study_design_scores_gemma":[0.0004021076,0.0001269972,0.000003829257,0.00006650048,0.00001533849,0.00006465062,0.00001625571,0.004152028,0.000002377842,0.00005095536,0.994772,0.0003269689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.700234e-7,0.00006126518,0.05701892,0.001559649,0.0005602668,0.0009246744,0.9352629,0.0003381202,0.004273727],"genre_scores_gemma":[0.0001482196,0.00003083654,0.0009369794,0.000600302,0.0003846975,8.458716e-8,0.9969674,0.0005243882,0.0004071002],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06170448,"threshold_uncertainty_score":0.9999584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0885868365531308,"score_gpt":0.28212744478598,"score_spread":0.1935406082328492,"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."}}