{"id":"W2884667255","doi":"","title":"PDAC 2017: : Growth in attendance signals growing confidence in global minerals sector","year":2017,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convention; Attendance; Business; Investment (military); Work (physics); Capital (architecture); Government (linguistics); Finance; Engineering; Economics; Geography; Economic growth; Political science","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"],"consensus_categories":[],"category_scores_codex":[0.0006135305,0.0002864877,0.0005324397,0.000130349,0.00007453637,0.000203952,0.0006862723,0.0003729725,0.0001271703],"category_scores_gemma":[0.0004202776,0.0003183232,0.00008330917,0.000131687,0.0000686186,0.0007397409,0.0001159268,0.0003973212,0.00004041445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002623028,"about_ca_system_score_gemma":0.00005244287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003111069,"about_ca_topic_score_gemma":0.00104187,"domain_scores_codex":[0.9982711,0.00004395032,0.0006432943,0.0003582291,0.0001226677,0.000560723],"domain_scores_gemma":[0.9991134,0.00008732738,0.0001509015,0.0005029737,0.00002928201,0.0001161343],"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":[0.0002640631,0.0001700956,0.2895632,0.0001738057,0.0001233038,0.0007198281,0.0005793823,0.02564168,0.1607035,0.01060723,0.5009937,0.01046018],"study_design_scores_gemma":[0.04562983,0.001501607,0.1638714,0.01238023,0.0002313359,0.0004817986,0.0008298304,0.1671822,0.2484377,0.06175472,0.2823117,0.01538767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757631,0.0001645314,0.0001416249,0.0006342245,0.0009787263,0.0003550857,0.00007230168,0.0001663382,0.02172409],"genre_scores_gemma":[0.9974246,0.00006697186,0.0007292934,0.0001132429,0.0007476186,0.00006000757,0.000008666116,0.00003224497,0.0008173672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.218682,"threshold_uncertainty_score":0.9999269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07734837529318503,"score_gpt":0.281741324799195,"score_spread":0.20439294950601,"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."}}