{"id":"W4302370893","doi":"10.5281/zenodo.7025992","title":"NPA reference","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001708724,0.001527172,0.002354365,0.01071735,0.003719156,0.01162947,0.003270481,0.003955398,0.669448],"category_scores_gemma":[0.01299067,0.0006937162,0.001639182,0.01246502,0.001226274,0.007695888,0.004124906,0.003523601,0.690793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005726573,"about_ca_system_score_gemma":0.008064161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01903858,"about_ca_topic_score_gemma":0.01826551,"domain_scores_codex":[0.9965792,0.0002251719,0.000249889,0.0004173814,0.002263311,0.000265072],"domain_scores_gemma":[0.9878268,0.0007648208,0.0002671879,0.001527869,0.008928011,0.0006853195],"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":[0.00001192487,0.000007947527,0.00003156107,0.0001830487,0.000003183575,0.00002021512,0.00001178959,0.00003958766,0.00006619198,0.002769145,0.9788179,0.01803762],"study_design_scores_gemma":[0.000003504397,0.000003582783,0.0001551414,0.00008976738,0.000003391949,0.00002295025,0.00001928809,0.00003291937,0.00007588417,0.002491227,0.9970964,0.000006048706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003139585,0.002958685,0.002400123,0.005622286,0.051475,0.0002509874,0.06831767,0.003371912,0.8652893],"genre_scores_gemma":[0.003533303,0.004413492,0.002960467,0.00288184,0.006467555,0.000407044,0.06932586,0.003687114,0.9063233],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.330552,"threshold_uncertainty_score":0.4714924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09252690780414558,"score_gpt":0.2154023972406215,"score_spread":0.1228754894364759,"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."}}