{"id":"W7164318464","doi":"10.52843/cassyni.gkn6hy","title":"Session 3B: Emerging Electrolyses Technology","year":2025,"lang":"","type":"article","venue":"","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hyperion Technologies (Canada)","funders":"","keywords":"Hydrogen production; Renewable energy; Electrolysis of water; Electrolysis; Polymer electrolyte membrane electrolysis; Capital expenditure; Photovoltaic system; Hydrogen economy","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":[0.001988831,0.001236771,0.0006096892,0.0006111522,0.001007265,0.003420797,0.001437415,0.002535305,0.08455542],"category_scores_gemma":[0.001062574,0.0003544865,0.001446765,0.0003474301,0.0005000298,0.002221367,0.003410046,0.004162815,0.03115382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587831,"about_ca_system_score_gemma":0.002017314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003483111,"about_ca_topic_score_gemma":0.00071613,"domain_scores_codex":[0.999175,0.00009873062,0.00002510492,0.0001504965,0.000342412,0.0002081701],"domain_scores_gemma":[0.9995671,0.00004845663,0.00002314378,0.00002507413,0.0001481694,0.0001881805],"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":[0.0006631608,0.0003727305,0.0005914962,0.001196688,0.00005285458,0.0005415455,0.0005955317,0.00120558,0.04703098,0.02631054,0.7561473,0.1652917],"study_design_scores_gemma":[0.0000338311,0.0002971862,0.0004259887,0.000234835,0.00001425153,0.0002104821,0.0002004523,0.000495149,0.007916166,0.005099996,0.9850508,0.00002084804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02533124,0.06754927,0.04752228,0.06072294,0.1866121,0.001416582,0.002437001,0.002817752,0.6055908],"genre_scores_gemma":[0.07824165,0.02929574,0.01590325,0.01203643,0.03510484,0.0008197421,0.002616272,0.001037587,0.8249446],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08455542,"threshold_uncertainty_score":0.2828661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006542683481634238,"score_gpt":0.266867624213169,"score_spread":0.2603249407315348,"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."}}