{"id":"W6925409760","doi":"10.17863/cam.96335","title":"Dataset for \"Floating Carbon Nitride Composites for Practical Solar Reforming of Pre-treated Wastes to Hydrogen Gas\"","year":2023,"lang":"en","type":"dataset","venue":"Apollo (University of Cambridge)","topic":"Employee Performance and Motivation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; UK Research and Innovation","keywords":"Hydrogen; Carbon fibers; Carbon nitride; Hydrogen production; Raw material; Nitride","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000413137,0.0002611366,0.0005330826,0.0005824106,0.0002612384,0.00003820755,0.0004279827,0.0001881838,0.000004749438],"category_scores_gemma":[0.0002619671,0.0003032409,0.000166784,0.000475682,0.0000611487,0.0008286994,0.0003648358,0.0001413916,0.00003651171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006318186,"about_ca_system_score_gemma":0.00007929192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01691061,"about_ca_topic_score_gemma":0.00172675,"domain_scores_codex":[0.998641,0.00001048019,0.0003273303,0.0003856634,0.0002875395,0.0003479948],"domain_scores_gemma":[0.9982669,0.0002505028,0.0006992886,0.0004252202,0.0003289545,0.00002918194],"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":[0.0005060007,0.00007801242,0.0005878773,0.002082669,0.0001786746,0.00000562888,0.00002886474,0.0000683758,0.001977256,0.00004960793,0.9940753,0.0003617294],"study_design_scores_gemma":[0.001670919,0.0001886987,0.0006131824,0.0008017217,0.001144132,0.000002107294,0.0009434629,0.006222111,0.003497512,0.00004153638,0.9842945,0.0005800595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1744192,0.00001529401,0.000327842,0.0004220535,0.0001369535,0.001149148,0.8234513,0.0000443104,0.00003384711],"genre_scores_gemma":[0.003739854,0.00003852473,0.001174297,0.0001407248,0.0003588925,0.000005678724,0.9943184,0.00003599823,0.0001875848],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1708671,"threshold_uncertainty_score":0.9999419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567032136438196,"score_gpt":0.2573136278076565,"score_spread":0.2316433064432746,"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."}}