{"id":"W4393844700","doi":"10.5281/zenodo.5554884","title":"NA-POPS Results and Dashboard","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Environment and Climate Change Canada","funders":"","keywords":"Dashboard; Computer science; Chemistry; Database","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":[0.001892573,0.002696649,0.001582234,0.003239664,0.0008495329,0.002686085,0.00299403,0.00247134,0.03490505],"category_scores_gemma":[0.007509308,0.0007065436,0.002188653,0.004256129,0.0005579691,0.001905852,0.001904174,0.002082499,0.07830431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403104,"about_ca_system_score_gemma":0.00189839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02505572,"about_ca_topic_score_gemma":0.05049311,"domain_scores_codex":[0.9980369,0.0003343089,0.0002109095,0.0005426296,0.0006337265,0.0002413839],"domain_scores_gemma":[0.9972916,0.000550025,0.0001779639,0.0009400162,0.000814588,0.000225695],"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":[0.0001282215,0.00004529667,0.001215914,0.0004263224,0.00006393785,0.00003130259,0.00001548508,0.001575911,0.0001648068,0.0003960352,0.993381,0.002555762],"study_design_scores_gemma":[0.0006125291,0.00009126969,0.01012896,0.0002522343,0.00008382353,0.0001410791,0.00012924,0.005892207,0.001362467,0.003440011,0.9777747,0.00009143539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005241397,0.00009057701,0.0001306557,0.00009656973,0.00007879537,0.00001607495,0.996276,0.001794889,0.0009923235],"genre_scores_gemma":[0.0006281573,0.00002453861,0.0002443448,0.00003034631,0.000008394815,0.00002891764,0.9984795,0.0001306499,0.0004250779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03490505,"threshold_uncertainty_score":0.116769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561826975305175,"score_gpt":0.2434143013527622,"score_spread":0.2177960315997104,"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."}}