{"id":"W4242110394","doi":"10.2172/1346614","title":"Next Generation Hydrogen Station Composite Data Products: Retail Stations, Data Through Quarter 3 of 2016","year":2017,"lang":"en","type":"report","venue":"","topic":"Nursing Education, Practice, and Leadership","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Composite number; Hydrogen; Environmental science; Database; Computer science; Geography; Chemistry","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":[0.001606321,0.0009452402,0.0005174255,0.00283592,0.0005722089,0.002533107,0.000829549,0.0004647233,0.07064452],"category_scores_gemma":[0.0104044,0.0006144081,0.0004368738,0.006548388,0.0002137222,0.001775634,0.001197353,0.001058106,0.07245486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002600099,"about_ca_system_score_gemma":0.009469379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08840051,"about_ca_topic_score_gemma":0.07794288,"domain_scores_codex":[0.9975739,0.00007738447,0.0002197067,0.0001372521,0.001817256,0.0001745042],"domain_scores_gemma":[0.9907498,0.0006279694,0.0007564279,0.0004007163,0.006976627,0.0004883556],"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":[0.0001509355,0.00005000905,0.004706845,0.0002172427,0.00001111733,0.00001346273,0.00003840842,0.0002850255,0.0001215768,0.0005699094,0.975283,0.01855247],"study_design_scores_gemma":[0.00005642006,0.00006867208,0.03166682,0.0001939677,0.00001528221,0.00002614362,0.0002928934,0.0003351356,0.001308532,0.0003306416,0.9656779,0.00002766327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003725801,0.0002793926,0.0005511121,0.0005545826,0.0007582158,0.000205137,0.9390872,0.0006482531,0.0541902],"genre_scores_gemma":[0.006823993,0.0008975745,0.001357159,0.0002106402,0.0001674557,0.0004450483,0.8890753,0.0004422989,0.1005804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08840051,"threshold_uncertainty_score":0.2363295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3270886564630487,"score_gpt":0.4199240810828659,"score_spread":0.0928354246198172,"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."}}