{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001271378,0.0003765257,0.0002553526,0.001745242,0.001883415,0.004269418,0.0006884893,0.001768762,0.03113727],"category_scores_gemma":[0.01064996,0.0002430388,0.000224353,0.002173008,0.0007163399,0.001939504,0.002934825,0.002036461,0.01482124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002041143,"about_ca_system_score_gemma":0.001528193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03188736,"about_ca_topic_score_gemma":0.04878314,"domain_scores_codex":[0.9985027,0.0002132202,0.0000719156,0.0001818277,0.0006618756,0.0003684679],"domain_scores_gemma":[0.9885512,0.001254263,0.001843166,0.0004359566,0.004487165,0.003428193],"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":[0.0003461376,0.0001222183,0.1345535,0.0002774371,0.00002278096,0.0002908354,0.00376297,0.0001081634,0.001544152,0.002750827,0.8012747,0.05494633],"study_design_scores_gemma":[0.00002697868,0.0001604969,0.5393177,0.0001889092,0.00002380429,0.0003454387,0.01736394,0.0007288656,0.001462804,0.0007625319,0.4394882,0.0001303192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4062918,0.001301058,0.004069163,0.05635523,0.008146754,0.0005602372,0.08656199,0.003760799,0.4329529],"genre_scores_gemma":[0.836098,0.001115637,0.00384367,0.01060531,0.003344693,0.0007597552,0.03349641,0.0009928449,0.1097436],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03188736,"threshold_uncertainty_score":0.1041645,"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."}}