{"id":"W7084757439","doi":"10.5061/dryad.w6m905r0g","title":"Supplemental data from: Manganese ore systems: A Canadian perspective on a critical element in the transition to a sustainable green economy within North America","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Global Political and Economic Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Manganese; Element (criminal law); Production (economics); Sustainable development; Tonnage; Component (thermodynamics); Battery (electricity); Current (fluid)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005985144,0.0001712566,0.0002792273,0.0001556986,0.0004984752,0.0006756643,0.001815491,0.0001186821,0.003726975],"category_scores_gemma":[0.0002310422,0.0001482081,0.00003477751,0.0002601888,0.0001503381,0.0003301027,0.0002368173,0.0002846617,0.000399197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001883966,"about_ca_system_score_gemma":0.001869573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9884394,"about_ca_topic_score_gemma":0.9864239,"domain_scores_codex":[0.9980213,0.0003368083,0.000329534,0.0005796783,0.0001546777,0.0005780251],"domain_scores_gemma":[0.9987058,0.0002503987,0.00005181753,0.0006182389,0.00006853841,0.0003051724],"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":[0.0000185909,0.00007470945,0.00001284956,0.00001091888,0.00003771844,0.00009522116,0.008851259,0.00004279541,2.644463e-9,0.01069911,0.9801093,0.00004752933],"study_design_scores_gemma":[0.0001410804,0.00005043111,0.00002309576,0.00004551174,0.00005626254,5.658844e-7,0.1841942,0.00006641593,1.823316e-8,0.001028094,0.8142514,0.0001429384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004818451,0.00001885269,0.00000280605,0.02825988,0.0001127504,0.001775922,0.9343038,8.109169e-7,0.03504331],"genre_scores_gemma":[0.01518464,0.000005197413,0.00008742248,0.002126774,0.0002318612,0.000200718,0.9810736,0.000003994808,0.00108578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1753429,"threshold_uncertainty_score":0.9971837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04108167185020139,"score_gpt":0.3577951226113404,"score_spread":0.316713450761139,"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."}}