{"id":"W7056824617","doi":"","title":"Government of Canada and Germany Land Agreement Securing Early Market Access for Clean Canadian Hydrogen","year":2024,"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":"Government (linguistics); Market access; Hydrogen; Service (business)","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":[0.001861493,0.0009716414,0.0007609979,0.002678986,0.008001825,0.005264637,0.002187449,0.006307821,0.1902497],"category_scores_gemma":[0.005920314,0.00069899,0.000974215,0.002252555,0.001499814,0.001550391,0.002353035,0.003805689,0.03599651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04613383,"about_ca_system_score_gemma":0.1545742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9759942,"about_ca_topic_score_gemma":0.9784515,"domain_scores_codex":[0.9951271,0.00009444053,0.00004736321,0.000203094,0.002884964,0.001643061],"domain_scores_gemma":[0.9929886,0.0004858276,0.00007953527,0.0003781313,0.004947801,0.001120104],"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":[0.0001146081,0.00008331438,0.0005954409,0.00006952903,0.00001294939,0.0001107945,0.0001567327,0.0002596806,0.0008356715,0.07953649,0.9006304,0.01759436],"study_design_scores_gemma":[0.00003383208,0.00001766294,0.003283951,0.00004477635,0.00001021901,0.00002514263,0.0001875341,0.0004659462,0.001094798,0.00318559,0.9916189,0.00003164783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004622599,0.0007710763,0.001509081,0.01011591,0.0009761523,0.0003588551,0.02322009,0.001025125,0.9574012],"genre_scores_gemma":[0.01437683,0.0003253289,0.0009344463,0.001954267,0.00005959064,0.00006718677,0.003103324,0.0003044496,0.9788746],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1902497,"threshold_uncertainty_score":0.6364485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006948072758970763,"score_gpt":0.2297530783979162,"score_spread":0.2228050056389454,"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."}}