{"id":"W6920434942","doi":"10.6068/dp14ba827814693","title":"Trend 1990 - 2008. Statistics Canada. CANSIM: Economic Accounts - Environmental and Resource Accounts | Country: Canada | Table: Energy use, by sector | Variable: Seafood product preparation and packaging | Units: Terajoules, 1990-2008. 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; Official statistics; National accounts; Product (mathematics); Summary statistics; Census; Resource (disambiguation); Natural resource; Statistical analysis","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":[0.002090761,0.002288827,0.002533324,0.01028288,0.003035217,0.005065321,0.004723648,0.001394571,0.1001109],"category_scores_gemma":[0.01688671,0.001796116,0.001982783,0.04904202,0.0006624559,0.002893235,0.002216061,0.003155573,0.06387158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06150961,"about_ca_system_score_gemma":0.1589181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939213,"about_ca_topic_score_gemma":0.9904935,"domain_scores_codex":[0.9953449,0.000259291,0.0004663831,0.0005069164,0.002400204,0.001022188],"domain_scores_gemma":[0.9660696,0.001018403,0.0009236449,0.0008628332,0.02987093,0.001254726],"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":[0.00001495617,0.000004310298,0.0006376674,0.0002123255,0.00001530972,0.00000563212,0.00001767985,0.00008893097,0.000007525046,0.0004432431,0.9970576,0.001494817],"study_design_scores_gemma":[0.00007691191,0.000007560379,0.01595392,0.0006035725,0.00004649469,0.00002012578,0.0003678696,0.0003278808,0.0001225118,0.0005368814,0.9818767,0.00005957387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004597604,0.00006032415,0.00002549257,0.0001365633,0.00003379602,0.00001679444,0.9982395,0.00006562879,0.001375956],"genre_scores_gemma":[0.000878914,0.0004213367,0.000456641,0.0001623673,0.00002192544,0.0001490272,0.9911807,0.0001429841,0.006586165],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1001109,"threshold_uncertainty_score":0.4462855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746330925134037,"score_gpt":0.2198583161412721,"score_spread":0.2023950068899318,"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."}}