{"id":"W4404494662","doi":"10.1007/978-3-031-67398-6_227","title":"Turnagain Nickel Project: De-Risking New North American Nickel Supply","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Tetra Tech (Canada); Imperial Metals (Canada)","funders":"","keywords":"Nickel; Business; Materials science; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006014031,0.0004246533,0.0003731436,0.0003290332,0.00004993517,0.0001758569,0.0001996432,0.0001696375,0.0008685132],"category_scores_gemma":[0.0000126387,0.000410936,0.0001621045,0.000143839,0.0000483558,0.0001571438,0.00003423963,0.0007274949,0.001462483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640601,"about_ca_system_score_gemma":0.0002540439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002037761,"about_ca_topic_score_gemma":0.002862119,"domain_scores_codex":[0.9986742,0.000004380242,0.0004121092,0.000348063,0.0002526975,0.0003085761],"domain_scores_gemma":[0.99938,0.00005553334,0.00008552427,0.0002641756,0.00005635982,0.0001584127],"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":[0.00001715741,0.00001506078,0.0001455595,0.0006411201,0.0004689712,0.0001041022,0.0009439405,0.003535113,0.0001764322,0.08013346,0.8627419,0.05107711],"study_design_scores_gemma":[0.00009364812,0.00003254751,0.00004308582,0.0001071354,0.00007625572,0.00004619083,0.00006632408,0.003553282,0.0001788461,0.001809777,0.9934562,0.0005367115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000231049,0.001621185,0.003766453,0.0002298277,0.0005153417,0.0002532714,0.00003820916,0.001219815,0.9921249],"genre_scores_gemma":[0.005472631,0.002040407,0.001672003,0.0003513395,0.0005246215,0.00001660096,0.0001145301,0.0001844672,0.9896234],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1307142,"threshold_uncertainty_score":0.9998342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177197888116655,"score_gpt":0.2564254254404045,"score_spread":0.238705636628739,"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."}}