{"id":"W7066362771","doi":"","title":"Greg McNab on Canada’s Regulatory Landscape, M&amp;amp;A, ESG, and Uranium in 2025; @Gregmcnab","year":2024,"lang":"en","type":"other","venue":"","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Uranium; Work (physics); Government (linguistics); Uranium ore","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":[0.001395952,0.0006812876,0.0004709862,0.000864465,0.0088129,0.005182852,0.0009789977,0.00652881,0.2544513],"category_scores_gemma":[0.00341576,0.0004316089,0.0004645539,0.0007305441,0.001591687,0.001516209,0.001623411,0.004483653,0.07354388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01836422,"about_ca_system_score_gemma":0.06329403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7644722,"about_ca_topic_score_gemma":0.9050109,"domain_scores_codex":[0.9975163,0.00009034997,0.00002436805,0.0002622034,0.001431464,0.0006752992],"domain_scores_gemma":[0.9955487,0.0003277435,0.00008185412,0.00009812886,0.002293668,0.001649854],"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":[0.00001294885,0.000009608407,0.0002466744,0.0000121043,0.000001396556,0.00005195346,0.00003662557,0.0000542912,0.0002075187,0.008249563,0.9828507,0.008266602],"study_design_scores_gemma":[0.00000230367,0.000003830531,0.0003836575,0.00002110347,0.000001532345,0.00001811335,0.00007993695,0.00007288629,0.0001825477,0.0004885459,0.9987386,0.000007139523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002014746,0.002561992,0.0008299464,0.1201179,0.006468793,0.00007584833,0.002736925,0.0008434411,0.8643504],"genre_scores_gemma":[0.003036947,0.0002656519,0.0002008553,0.006560696,0.00009171593,0.000005661623,0.000144434,0.00008765452,0.9896064],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2544513,"threshold_uncertainty_score":0.8512245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081271393484328,"score_gpt":0.2434397769335066,"score_spread":0.2326270629986633,"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."}}