{"id":"W2611933018","doi":"","title":"Year in Review 2013: Graphite and graphene","year":2014,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graphite; Investment (military); Sri lanka; Christian ministry; Production (economics); China; Politics; Business; Tonne; Natural resource economics; Engineering; Political science; Economy; Agricultural economics; Geography; Metallurgy; Economics; Materials science; Waste management; Environmental planning; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001885234,0.00007394631,0.0001439958,0.00008884811,0.00001289852,0.00001531867,0.00003962179,0.00007554494,0.0001202586],"category_scores_gemma":[0.00008396595,0.00006969149,0.0000196284,0.000226519,0.00001338337,0.0001110631,0.000004822538,0.0001266438,0.00002911757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004816193,"about_ca_system_score_gemma":0.000004672377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002406324,"about_ca_topic_score_gemma":0.00004096783,"domain_scores_codex":[0.999539,0.00002721406,0.0001903366,0.00008519038,0.00006344586,0.0000947962],"domain_scores_gemma":[0.9998032,0.00003766911,0.00002093153,0.00007717656,0.00001550017,0.00004552563],"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":[0.00001101135,0.00002213468,0.004075346,0.0002739038,0.00001787909,0.000002111081,0.00005278733,0.0006158347,0.0120194,0.002625242,0.9642464,0.01603794],"study_design_scores_gemma":[0.0004863777,0.00001659589,0.0004293002,0.0002585301,0.000007415179,0.00000306549,0.000005302638,0.0002398774,0.0003523625,0.0003400932,0.9977465,0.0001146403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.66574,0.04601859,0.0005985511,0.00763108,0.002816167,0.001259473,0.00002490852,0.0007819759,0.2751293],"genre_scores_gemma":[0.952103,0.03457942,0.0002697297,0.001297494,0.0008302372,0.00006802656,0.00002768875,0.0000433483,0.01078105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2863631,"threshold_uncertainty_score":0.2841936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03273602823102983,"score_gpt":0.2544760407661155,"score_spread":0.2217400125350857,"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."}}