{"id":"W4400576079","doi":"10.1002/9781394253326.ch3","title":"Metals – A Key to the Future","year":2024,"lang":"en","type":"other","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada); Imperial Metals (Canada)","funders":"","keywords":"Key (lock); Computer science; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001510278,0.0007172789,0.0004303969,0.0007363709,0.002848256,0.007071639,0.001008997,0.003861173,0.03697629],"category_scores_gemma":[0.001800986,0.0002995078,0.0003103039,0.0007561903,0.005902045,0.01242239,0.00402412,0.004871232,0.02367863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003017447,"about_ca_system_score_gemma":0.003478176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002534662,"about_ca_topic_score_gemma":0.004306164,"domain_scores_codex":[0.9988297,0.0002288787,0.00004524692,0.0001802706,0.0005540436,0.0001618631],"domain_scores_gemma":[0.9991447,0.0001955638,0.00004765663,0.0001396123,0.0002692516,0.0002031561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002771929,0.00002616268,0.0000733803,0.0002305219,0.00000343765,0.00007929392,0.0006592934,0.0001427695,0.0007622768,0.610636,0.2877187,0.09964059],"study_design_scores_gemma":[5.518264e-7,0.000004002098,0.00001614985,0.00007083375,3.704017e-7,0.00003446645,0.0001238519,0.00001112292,0.00006916729,0.0269696,0.9726983,0.000001714963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001441236,0.09832555,0.003711066,0.1784063,0.01249744,0.0000278034,0.000146998,0.0003681953,0.7050754],"genre_scores_gemma":[0.03234494,0.1144187,0.008705338,0.03846145,0.006703205,0.00005702633,0.0002056845,0.0003935443,0.7987101],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03697629,"threshold_uncertainty_score":0.123698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008613469439350258,"score_gpt":0.2525354540167402,"score_spread":0.2439219845773899,"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."}}