{"id":"W4312716865","doi":"10.3934/ctr.2022014","title":"Critical materials for low carbon society","year":2022,"lang":"en","type":"article","venue":"Clean Technologies and Recycling","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Carbon fibers; Political science; Materials science","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":[0.0005318051,0.000792814,0.0003663392,0.001251642,0.001714993,0.001960412,0.0006876952,0.001704032,0.02700249],"category_scores_gemma":[0.001098992,0.0002573264,0.000158441,0.0003749434,0.002566137,0.003146335,0.0012884,0.002069479,0.003040261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002432514,"about_ca_system_score_gemma":0.001769317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005674539,"about_ca_topic_score_gemma":0.0008994322,"domain_scores_codex":[0.9996883,0.00005976098,0.000009910569,0.00004893473,0.000143535,0.00004965621],"domain_scores_gemma":[0.9996574,0.00008996781,0.00002623386,0.0000441057,0.0001240355,0.00005831004],"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":[0.00001976981,0.00001869496,0.00004017487,0.0002548108,0.000004032663,0.00005905943,0.00009220603,0.0003386162,0.006922695,0.96472,0.01394083,0.01358902],"study_design_scores_gemma":[0.00001582773,0.00005999493,0.0001101182,0.0001702505,0.000009214343,0.0001353112,0.0001856504,0.0009067383,0.0176472,0.6549561,0.3257869,0.00001677276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06681097,0.09624048,0.07227632,0.07088916,0.01614945,0.0003706195,0.0005372076,0.0008051454,0.6759207],"genre_scores_gemma":[0.6713429,0.03905021,0.02859036,0.005876552,0.003739726,0.0006117373,0.0003432958,0.0004446046,0.2500006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02700249,"threshold_uncertainty_score":0.09033233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518293093735191,"score_gpt":0.265549933939432,"score_spread":0.2503670030020801,"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."}}