{"id":"W2379679113","doi":"","title":"INTRODUCTION ON REPORTING CODE OF CANADA'S MINING LISTING INDUSTRY OF LAND AND RESOURCES","year":2004,"lang":"en","type":"article","venue":"Resources and Industries","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Listing (finance); Disk formatting; Business; Accounting; China; Function (biology); Publication; Finance; Computer science; Advertising; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0002105543,0.0001061214,0.0002090627,0.00007937718,0.00006312467,0.00001802261,0.00004011558,0.0001393795,0.000003870481],"category_scores_gemma":[0.0003095548,0.0001024969,0.00001089946,0.0001331439,0.00003309631,0.00003612071,0.00002848536,0.0002505503,2.232731e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002519655,"about_ca_system_score_gemma":0.0000319009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006628802,"about_ca_topic_score_gemma":0.002472381,"domain_scores_codex":[0.9992037,0.000005083652,0.0003865164,0.0001237163,0.0001261271,0.00015482],"domain_scores_gemma":[0.9995813,0.00004060057,0.0001972486,0.00009636904,0.00002954595,0.00005492332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006421022,0.00003895217,0.09009223,0.001238426,0.0002653688,0.00004913488,0.01122034,0.8260641,0.01688397,0.0011468,0.003157283,0.04977923],"study_design_scores_gemma":[0.004103621,0.001428042,0.1796027,0.006008546,0.0002675974,0.0004966987,0.03795582,0.03128555,0.4516344,0.0004154112,0.2842909,0.002510681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985519,0.0004685285,0.00003381892,0.000177917,0.00008521718,0.00003745772,0.00001027448,0.0000353839,0.0005994817],"genre_scores_gemma":[0.9995235,0.00002709662,0.0001844167,0.000005213576,0.0001656746,0.00000161201,0.000001942257,0.00001597854,0.00007460658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7947785,"threshold_uncertainty_score":0.9999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177021184841223,"score_gpt":0.187244346854844,"score_spread":0.1754741350064318,"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."}}