{"id":"W7045824879","doi":"","title":"Canada getting one of world’s largest green hydrogen plant – 11,100 metric tons of green H2 per year","year":2021,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tonne; Metric (unit); Power station; Renewable energy; Hydrogen","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":[0.0004271819,0.0005368313,0.0002208595,0.00100832,0.005279881,0.003311442,0.0007250258,0.001830342,0.1757148],"category_scores_gemma":[0.001139667,0.0003424883,0.0005282704,0.0009586009,0.000856726,0.0009832802,0.001533535,0.001959776,0.04426035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02075758,"about_ca_system_score_gemma":0.07430562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.936058,"about_ca_topic_score_gemma":0.9791997,"domain_scores_codex":[0.9992661,0.00001343506,0.000005592891,0.00003102103,0.000439025,0.0002447283],"domain_scores_gemma":[0.9980692,0.00003645717,0.00002095677,0.00003679192,0.0009083207,0.0009282922],"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":[0.00003434681,0.00003635297,0.0008820996,0.00005266951,0.000005237231,0.00005645329,0.00004713288,0.0001061784,0.0004833977,0.006056352,0.9725239,0.01971574],"study_design_scores_gemma":[0.00001458106,0.000009215315,0.002304056,0.00002891436,0.000003313346,0.00002023679,0.000197206,0.0001337374,0.0003995826,0.0007381707,0.9961392,0.00001164867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005078377,0.0007137913,0.0006530735,0.01169247,0.00152394,0.0001965015,0.01619731,0.0009809663,0.9629636],"genre_scores_gemma":[0.01081525,0.0005846211,0.0006486928,0.00271385,0.00008222968,0.00003076422,0.002820039,0.0001879291,0.9821166],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1757148,"threshold_uncertainty_score":0.5878246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459666383670211,"score_gpt":0.2373926341224975,"score_spread":0.2227959702857954,"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."}}