{"id":"W2811299310","doi":"","title":"Chinese metspar exports up: ; acidspar exports nosedive","year":2017,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Quarter (Canadian coin); Geography; International trade; Economy; Agricultural economics; Business; Economics; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003193571,0.0003446244,0.000479784,0.00008952583,0.0002592619,0.0002682297,0.0004363443,0.0003588717,0.001372719],"category_scores_gemma":[0.0006410089,0.0002955951,0.000127616,0.00006577372,0.0001109201,0.0003227239,0.000128685,0.000386058,0.00008264473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004158167,"about_ca_system_score_gemma":0.00004202394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004051795,"about_ca_topic_score_gemma":0.00005394367,"domain_scores_codex":[0.9984003,0.00002237865,0.0005023016,0.0003042148,0.0002889126,0.0004818913],"domain_scores_gemma":[0.9985201,0.000059914,0.0001853577,0.0009231454,0.00006080887,0.0002506389],"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":[0.00005224195,0.00008151794,0.04568617,0.00004136639,0.0002108899,0.0009042344,0.0003596995,0.002706406,0.004858222,0.0004608498,0.9088425,0.03579593],"study_design_scores_gemma":[0.003295861,0.000134477,0.0190844,0.0001319753,0.0001494657,0.00008972899,0.00006511278,0.002885023,0.004959316,0.001391307,0.9663236,0.001489698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7902462,0.0002788884,0.0003265296,0.0004644744,0.01222923,0.0006066776,0.0001334109,0.0005273542,0.1951872],"genre_scores_gemma":[0.9801486,0.0000501238,0.0001977086,0.00006364536,0.003710127,0.00003981722,0.00005908651,0.00005787896,0.01567301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1899024,"threshold_uncertainty_score":0.9999496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06132241144984387,"score_gpt":0.2871430538137689,"score_spread":0.225820642363925,"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."}}