{"id":"W2787984795","doi":"","title":"Rank and file: : Assessing graphite projects on credentials","year":2015,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Graphite, nuclear technology, radiation studies","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graphite; Economic shortage; Weighting; Product (mathematics); Rank (graph theory); Engineering; Statistics; Operations management; Mathematics; Metallurgy; Materials science; Physics; Combinatorics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001234776,0.0004686822,0.0002900322,0.006715628,0.0009779475,0.001898152,0.0007080744,0.0004406871,0.3213034],"category_scores_gemma":[0.0178466,0.0001760307,0.0002086595,0.005906915,0.0002983319,0.001598707,0.001759482,0.0003896644,0.07330829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023344,"about_ca_system_score_gemma":0.001532989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01149789,"about_ca_topic_score_gemma":0.01968644,"domain_scores_codex":[0.9986359,0.0001563261,0.0001471196,0.00009047046,0.0007211645,0.0002489546],"domain_scores_gemma":[0.9838963,0.005287568,0.001892456,0.001135471,0.006308192,0.001480061],"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":[0.0001975209,0.0001102391,0.0248442,0.0002293545,0.000008632608,0.00009976857,0.0002347411,0.0006908115,0.0001926765,0.002102569,0.9232007,0.04808877],"study_design_scores_gemma":[0.0002269183,0.0002949472,0.1602883,0.0002743529,0.00001438953,0.000285687,0.003404534,0.003179573,0.002041328,0.002819834,0.8270757,0.00009453249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04125131,0.00004561128,0.001185667,0.0009105272,0.000148134,0.0007469062,0.7898938,0.004409628,0.1614084],"genre_scores_gemma":[0.21916,0.0002080485,0.008626808,0.0002416843,0.000171754,0.00131637,0.6103194,0.00175367,0.1582023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3213034,"threshold_uncertainty_score":0.9680783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1489206448744771,"score_gpt":0.310949093120727,"score_spread":0.1620284482462498,"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."}}