{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001272046,0.00006175024,0.00009091201,0.0000292259,0.0002030403,0.00003468643,0.00006733894,0.00006256214,0.00002162611],"category_scores_gemma":[0.0001107175,0.0000605856,0.00002634953,0.00006806255,0.0000449666,0.00004488394,0.00004800395,0.0001173877,4.377084e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002755443,"about_ca_system_score_gemma":0.000005120814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001169012,"about_ca_topic_score_gemma":0.000001263762,"domain_scores_codex":[0.9995908,0.000003922177,0.0001192656,0.0001043451,0.00005906511,0.0001225791],"domain_scores_gemma":[0.9998084,0.00007288184,0.00001375831,0.00007246152,0.00002199932,0.00001050615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004976722,0.00008342568,0.0001126153,0.001346469,0.00009451193,0.00000621891,0.0008562537,0.007031736,0.4685904,0.02027906,0.02161302,0.4799365],"study_design_scores_gemma":[0.0005474038,0.0001789531,0.00005421388,0.00004441983,0.00003198825,0.00003970548,0.05408072,0.06444345,0.7397963,0.01974753,0.1205031,0.0005321439],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873047,0.0014866,0.004466233,0.001161605,0.000943292,0.0002024689,0.00002628448,0.002845826,0.001563019],"genre_scores_gemma":[0.9978327,0.0004753307,0.001413285,0.00004006407,0.00002901383,0.0000775663,0.000003844418,0.00001391247,0.0001142894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4794044,"threshold_uncertainty_score":0.2470609,"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."}}