{"id":"W2336630634","doi":"10.2172/1118092","title":"Next Generation Hydrogen Station Composite Data Products: Data through Quarter 2 of 2013","year":2013,"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; Computer science; Database; Environmental science; Geography; Algorithm","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":[0.00187197,0.0009596728,0.0005961296,0.002733092,0.0006993781,0.001994916,0.001060298,0.000560676,0.03204795],"category_scores_gemma":[0.006990077,0.000627169,0.0006039963,0.005935539,0.0001819989,0.001266153,0.001172807,0.001124851,0.02649187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003093066,"about_ca_system_score_gemma":0.009339508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1229136,"about_ca_topic_score_gemma":0.1259671,"domain_scores_codex":[0.9974574,0.00008862943,0.0001499002,0.0001342101,0.00198879,0.0001809828],"domain_scores_gemma":[0.9927732,0.0004741886,0.0006317334,0.0002965253,0.005539229,0.0002850462],"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":[0.000263804,0.00007950939,0.00712027,0.0002758929,0.00003224751,0.0000220482,0.00003155055,0.0008710461,0.0003631538,0.0004854964,0.9700775,0.02037754],"study_design_scores_gemma":[0.0001049851,0.0001390264,0.06481586,0.0001458808,0.00005306489,0.00004188485,0.0002185413,0.001295609,0.004440546,0.0005092386,0.9281774,0.00005799142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004107825,0.0002434222,0.0009587505,0.0004277822,0.0004202848,0.0002482631,0.9647681,0.0006862216,0.02813943],"genre_scores_gemma":[0.00923199,0.000741767,0.003210929,0.0002870209,0.0001007413,0.0006549958,0.9458198,0.0003938465,0.03955894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1229136,"threshold_uncertainty_score":0.2443962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.269240420576333,"score_gpt":0.3981237797645476,"score_spread":0.1288833591882146,"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."}}