{"id":"W6889511586","doi":"10.25625/3lnri6","title":"Uranium stocks - Data and Analysis","year":2022,"lang":"en","type":"dataset","venue":"Göttingen Research Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crunch; Nuclear power; Uranium; Commodity; Electricity; Energy supply; Supply and demand; Purchasing power; Purchasing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.01497867,0.0006613192,0.001318383,0.00501177,0.00118655,0.0004719814,0.007144194,0.0004310697,0.09435338],"category_scores_gemma":[0.008545876,0.0006642345,0.0002098428,0.00872467,0.0006762099,0.0003048001,0.02071257,0.005858389,0.001559157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005037148,"about_ca_system_score_gemma":0.0009791533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006720765,"about_ca_topic_score_gemma":0.01520981,"domain_scores_codex":[0.9858953,0.003211588,0.0009318318,0.002841593,0.00523078,0.001888867],"domain_scores_gemma":[0.987297,0.001627189,0.0004137653,0.0088525,0.00111098,0.0006985457],"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":[0.0001696274,0.0006135338,0.0001998759,0.0002154976,0.003330668,0.0003464305,0.00002314873,0.00001970328,0.00002746078,0.000001932084,0.9943048,0.0007473438],"study_design_scores_gemma":[0.0004914252,0.0001878166,0.0005577329,0.00002844654,0.002118839,0.00001185306,0.0002950985,0.002349953,0.000001706156,0.00002017224,0.9933448,0.0005921604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004039461,0.005592671,0.00000233298,0.0004441846,0.0001779294,0.001009474,0.9921568,0.0001371866,0.00007545277],"genre_scores_gemma":[0.000008611982,0.002416388,0.0006216645,0.00008634668,0.00109377,0.0001208936,0.9943497,0.0001874036,0.001115246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09279422,"threshold_uncertainty_score":0.9998935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2562062905937644,"score_gpt":0.5011531199891008,"score_spread":0.2449468293953364,"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."}}