{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006223764,0.002007894,0.001479884,0.005414696,0.001498817,0.003215646,0.00314466,0.001527485,0.07532761],"category_scores_gemma":[0.00525725,0.0007923651,0.001356326,0.01466966,0.0006530561,0.001877189,0.001981646,0.00234783,0.08549134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007229423,"about_ca_system_score_gemma":0.01885983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7139554,"about_ca_topic_score_gemma":0.8014948,"domain_scores_codex":[0.9987172,0.00006635286,0.00009053047,0.0002833059,0.0004621981,0.0003804931],"domain_scores_gemma":[0.996323,0.0003055533,0.0002250657,0.0005315036,0.002186518,0.0004283634],"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":[0.00002260728,0.000004990035,0.0002454284,0.0001707776,0.00001058833,0.000007682956,0.00000881546,0.00009860911,0.0000309944,0.0003177124,0.9982833,0.0007985975],"study_design_scores_gemma":[0.00007375015,0.00000458521,0.003745569,0.0002142423,0.00001922875,0.00002710781,0.00007389018,0.0002337552,0.0001949225,0.0006548811,0.9947319,0.00002607266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005195901,0.00004142549,0.00001827312,0.00004210414,0.00001509211,0.000004048272,0.9989531,0.000151085,0.0007230141],"genre_scores_gemma":[0.0001930956,0.00004381869,0.00007375414,0.00002592512,0.00000374449,0.0000157168,0.9987734,0.00005437983,0.0008161687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2860446,"threshold_uncertainty_score":0.5754583,"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."}}