{"id":"W7055837475","doi":"","title":"Discrimination of uranium ore concentrates from several countries by chemometric data analysis","year":2015,"lang":"en","type":"other","venue":"NPARC","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Uranium ore; Iron ore; Uranium mine; Statistical analysis; Copper ore","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002385417,0.0005066572,0.000508406,0.006388127,0.0005639088,0.001612254,0.0006574704,0.0005484424,0.01400356],"category_scores_gemma":[0.008290014,0.0001786128,0.0005580484,0.005828461,0.0003324014,0.000642013,0.001179531,0.0002915134,0.006396417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004899937,"about_ca_system_score_gemma":0.001398247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009470662,"about_ca_topic_score_gemma":0.01034025,"domain_scores_codex":[0.9981663,0.0002863206,0.0001741794,0.0002545357,0.0009563218,0.0001623599],"domain_scores_gemma":[0.9957708,0.001001971,0.0005457572,0.000472366,0.002015242,0.0001938533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0010192,0.000336721,0.3544942,0.0009311318,0.0005020933,0.0007527889,0.0005524997,0.005338453,0.01959842,0.003704145,0.0814494,0.531321],"study_design_scores_gemma":[0.00008813682,0.000254174,0.7011298,0.0002302209,0.000417936,0.0005430312,0.001886622,0.02768875,0.04475303,0.002833174,0.2200541,0.0001210685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8376831,0.001138584,0.01263322,0.001301396,0.0003767997,0.0004769306,0.05511223,0.001266141,0.09001166],"genre_scores_gemma":[0.8713951,0.0008756664,0.02566862,0.0001477446,0.0001790732,0.0001682871,0.06041996,0.0003092322,0.04083641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01400356,"threshold_uncertainty_score":0.04684651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152334388452905,"score_gpt":0.2827236917785113,"score_spread":0.2612003478939822,"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."}}