{"id":"W4283317320","doi":"10.2172/1873113","title":"Next Generation Hydrogen Station Composite Data Products: Retail Stations (Summer 2021: Data Through Quarter 2 of 2021) [Slides]","year":2022,"lang":"en","type":"report","venue":"","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Composite number; Environmental science; Database; Business; Telecommunications; Computer science; Geography; Archaeology","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":[0.0007473952,0.001155388,0.0005651224,0.001780577,0.0005590016,0.002230743,0.000868163,0.0008883834,0.1522785],"category_scores_gemma":[0.002338417,0.0005318015,0.0004842555,0.004406631,0.0001399189,0.001612765,0.0006589718,0.001208109,0.1198494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737287,"about_ca_system_score_gemma":0.004044029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07736359,"about_ca_topic_score_gemma":0.09961412,"domain_scores_codex":[0.9992286,0.00002836725,0.00003383221,0.00006517593,0.0005497934,0.00009415374],"domain_scores_gemma":[0.9974433,0.0001343578,0.0001817578,0.00008727193,0.001970925,0.0001823462],"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":[0.00007181422,0.00002527411,0.0008563366,0.00009308673,0.000005011684,0.000007785423,0.000005550175,0.0002287156,0.0001669562,0.0001862519,0.9901353,0.008218071],"study_design_scores_gemma":[0.00006609075,0.00006987261,0.02293029,0.00009349347,0.0000180096,0.00001952049,0.00007797583,0.000485705,0.001363879,0.000321568,0.9745252,0.00002840777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001823118,0.0003192492,0.0006075333,0.0008257292,0.001102282,0.0001960589,0.9210653,0.0009516288,0.07310916],"genre_scores_gemma":[0.007051468,0.0007660438,0.001577764,0.000435959,0.0002184264,0.0003216641,0.8527158,0.0004496606,0.1364632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1522785,"threshold_uncertainty_score":0.5094223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2631818138895487,"score_gpt":0.3375576872652198,"score_spread":0.07437587337567114,"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."}}