{"id":"W7131921377","doi":"","title":"Yield Capital: Evaluating Investment Opportunities in the Hydrogen Energy Industry","year":2023,"lang":"","type":"other","venue":"CEIBS Institutional Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"Yield (engineering); Investment (military); Energy (signal processing); Production (economics); Energy consumption","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002421932,0.0003612229,0.0003018027,0.001748898,0.001513768,0.00537384,0.0005464259,0.0009633375,0.008323402],"category_scores_gemma":[0.01035019,0.0001920643,0.0003436112,0.002049756,0.002107138,0.007776871,0.001672991,0.000987814,0.0004492919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0050237,"about_ca_system_score_gemma":0.003508003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009399047,"about_ca_topic_score_gemma":0.01057138,"domain_scores_codex":[0.9986083,0.0004004196,0.00006544036,0.0001722022,0.0005018011,0.0002518428],"domain_scores_gemma":[0.9966359,0.001909424,0.0005501631,0.00008298947,0.0005388352,0.0002827057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002567702,0.0001706447,0.07483728,0.0001771658,0.000143648,0.0004698768,0.005228178,0.02521212,0.0008925943,0.7890686,0.007566223,0.09597691],"study_design_scores_gemma":[0.0001031582,0.0004009737,0.09938183,0.0002602979,0.000169722,0.0001992263,0.02759165,0.03953424,0.004890228,0.7781855,0.04915203,0.0001311842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5965579,0.001460804,0.02045948,0.01045519,0.0001474921,0.0001634945,0.0004440906,0.00009184777,0.3702196],"genre_scores_gemma":[0.9901859,0.0003318255,0.001352617,0.0001245662,0.00002040795,0.00003682881,0.00005377717,0.000007761076,0.007886336],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009399047,"threshold_uncertainty_score":0.03644967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1369188171152575,"score_gpt":0.3079505477029058,"score_spread":0.1710317305876483,"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."}}