{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001718196,0.001766423,0.003236471,0.005716383,0.00119958,0.008673628,0.002436733,0.005428068,0.02762777],"category_scores_gemma":[0.004840662,0.001089518,0.001339643,0.007744145,0.001350954,0.005669857,0.002686115,0.004389558,0.01786822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003110183,"about_ca_system_score_gemma":0.005498033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002639488,"about_ca_topic_score_gemma":0.006888404,"domain_scores_codex":[0.9986738,0.0001346332,0.0002070186,0.0001988958,0.0005597013,0.0002260375],"domain_scores_gemma":[0.9957501,0.0007080662,0.0006218592,0.0001316539,0.001844638,0.0009436624],"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":[0.0001732329,0.00005702614,0.0002815797,0.03220929,0.0001805065,0.0003640222,0.00009449611,0.0001726117,0.001155854,0.002427398,0.6819178,0.2809663],"study_design_scores_gemma":[0.0000188861,0.00004566588,0.0004855263,0.005124073,0.00008599046,0.0003417998,0.00007981621,0.00002052,0.0001546959,0.0005632867,0.9930582,0.00002150692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001742691,0.9445886,0.0001303659,0.006286297,0.0432297,0.00006527604,0.0002286112,0.00005928386,0.005237544],"genre_scores_gemma":[0.001075513,0.9568211,0.0001595484,0.009973979,0.01895442,0.00005881259,0.0003947254,0.00002855018,0.01253326],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02762777,"threshold_uncertainty_score":0.09242409,"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."}}