{"id":"W4393994421","doi":"10.4324/9781003294290-9","title":"Hydrogen investment","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Emera; Ministry of Economy, Trade and Industry; Consolidated Contractors Company; U.S. Department of Energy","keywords":"Business; Economics; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003376287,0.0004923778,0.0001858609,0.000630757,0.0009340855,0.003374773,0.0005571247,0.001276058,0.1433806],"category_scores_gemma":[0.0006594274,0.0002233859,0.0002430687,0.0008593799,0.0003800209,0.002404331,0.001255823,0.001373071,0.05442512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002625356,"about_ca_system_score_gemma":0.001839421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002470683,"about_ca_topic_score_gemma":0.005123712,"domain_scores_codex":[0.999747,0.00003274074,0.000007450471,0.00003746741,0.0001332994,0.00004207797],"domain_scores_gemma":[0.999859,0.00002125856,0.00000774777,0.00001897727,0.0000535482,0.00003948728],"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":[0.00002454091,0.0000313177,0.0001171926,0.0001786373,0.000003852119,0.00007665301,0.0001194174,0.0002358465,0.0004902121,0.1823257,0.674236,0.1421606],"study_design_scores_gemma":[0.000001016036,0.000003790687,0.00003492672,0.00004277737,5.600362e-7,0.00002602789,0.00002437116,0.00002337318,0.0000945718,0.002060075,0.9976875,0.000001100203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007604854,0.01168808,0.0006405197,0.004960333,0.002428568,0.00003427554,0.0003112918,0.0001256992,0.9790508],"genre_scores_gemma":[0.0056939,0.009467812,0.0005908171,0.0009460699,0.0004022036,0.00002014108,0.0003186484,0.00004784836,0.9825126],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1433806,"threshold_uncertainty_score":0.479656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05591267288540128,"score_gpt":0.3312718241582289,"score_spread":0.2753591512728276,"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."}}