{"id":"W896399053","doi":"","title":"Underworld Resources公司在White Gold钻进勘查结果","year":2009,"lang":"zh","type":"article","venue":"黄金","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"White (mutation)","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":[0.0001543803,0.0002852973,0.0002592588,0.0001646426,0.00006574758,0.000104777,0.0002351497,0.0001609871,0.0001617487],"category_scores_gemma":[0.00002613226,0.0003268479,0.0001123381,0.000315269,0.000009254812,0.00009074786,0.00003550582,0.0003556751,0.0004032953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009314788,"about_ca_system_score_gemma":0.00001478397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001283143,"about_ca_topic_score_gemma":0.000007497229,"domain_scores_codex":[0.9986899,0.00001028947,0.0002718358,0.0002688172,0.0002000778,0.0005590764],"domain_scores_gemma":[0.999321,0.00002824657,0.00003457301,0.0004135235,0.00002799719,0.0001746854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002419418,0.0001653867,0.0001054651,0.0003558306,0.0002567211,0.0002404909,0.002901914,0.3389212,0.02256399,0.4626186,0.02877797,0.1430682],"study_design_scores_gemma":[0.002145226,0.0006420611,0.009201046,0.001098024,0.0002354905,0.00009303098,0.0003720085,0.361687,0.002168695,0.04625682,0.573332,0.002768635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05107448,0.007618494,0.03859346,0.002085624,0.003264039,0.0004141159,0.0000380054,0.001730234,0.8951815],"genre_scores_gemma":[0.9918525,0.0001407977,0.001465552,0.0002147293,0.0004633947,0.000003376778,0.000009212944,0.00006208572,0.005788364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.940778,"threshold_uncertainty_score":0.9999183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008620743380109012,"score_gpt":0.187466731359615,"score_spread":0.178845987979506,"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."}}