{"id":"W6920375174","doi":"10.6068/dp14baa34e81672","title":"Trend 1984 - 2011. Statistics Canada. CANSIM: Economic Accounts - Environmental and Resource Accounts | Country: Canada | Province: Quebec | Table: Proven and probable copper reserves | Variable: Additions, proven and probable copper reserves | Units: Tonnes x 1,000, 1984-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-058.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; National accounts; Official statistics; Census; Summary statistics; National Income and Product Accounts; Natural resource; Resource (disambiguation); Publication","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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001665757,0.001975398,0.00215095,0.0003012464,0.0007193288,0.001398436,0.003196535,0.0010447,0.007608842],"category_scores_gemma":[0.0001657556,0.001932572,5.932445e-7,0.0001836775,0.001374437,0.002200809,0.003081901,0.001504752,0.000389154],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741149,"about_ca_system_score_gemma":0.02521151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997361,"about_ca_topic_score_gemma":0.9998652,"domain_scores_codex":[0.98961,0.0009400428,0.001803958,0.003583457,0.001941245,0.002121334],"domain_scores_gemma":[0.990922,0.0009019534,0.001714255,0.0049536,0.00009433604,0.001413825],"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":[0.0006138323,0.0002270936,0.0003955178,0.002021121,0.0007629963,0.0004314407,0.000009396711,0.00002791756,0.00002246959,0.0003017222,0.9951074,0.00007909798],"study_design_scores_gemma":[0.002419028,0.000235229,0.00005575462,0.0002007031,0.0008398202,0.0004595193,0.0006000975,0.001098055,2.684933e-7,0.000001729384,0.9918566,0.002233227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002244614,0.008182456,2.497336e-7,0.00002188744,0.0003924259,0.004199884,0.9833164,0.0001801899,0.003684124],"genre_scores_gemma":[0.00002178272,0.001614758,0.0003106846,0.0002217504,0.0004278222,0.0002814539,0.959799,0.0009408637,0.03638187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03269775,"threshold_uncertainty_score":0.9996382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786067639257308,"score_gpt":0.2234123525426245,"score_spread":0.2055516761500514,"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."}}