{"id":"W6907628794","doi":"10.25318/3610038901-eng","title":"Gross domestic product (GDP) at basic prices, by North American Industry Classification System (NAICS), quarterly","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Production (economics); Product (mathematics); Fishing; Gross domestic product; Revenue; Seasonal adjustment","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":[0.0005995276,0.001491197,0.001356596,0.005815145,0.0008648504,0.002144201,0.001642967,0.0007669495,0.04942147],"category_scores_gemma":[0.00545264,0.0006484499,0.0007158792,0.02174167,0.000339456,0.001258028,0.0008618449,0.001749086,0.0750256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003982597,"about_ca_system_score_gemma":0.008225043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4888148,"about_ca_topic_score_gemma":0.4491735,"domain_scores_codex":[0.9987828,0.00007912037,0.0001469093,0.0002852472,0.0004950903,0.0002108619],"domain_scores_gemma":[0.9952912,0.0004487765,0.0005281257,0.0003355637,0.003149992,0.000246323],"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":[0.00001339936,0.000008602049,0.001260866,0.0001629351,0.0000108485,0.000007881521,0.000007997074,0.000145055,0.00001486491,0.0003229157,0.996744,0.001300641],"study_design_scores_gemma":[0.00008536582,0.00001159473,0.02455083,0.0002964665,0.00002437408,0.0000323153,0.0001342373,0.0003544073,0.0001598713,0.0004476728,0.9738752,0.00002776364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001677464,0.00004530648,0.00002200254,0.00004325072,0.00001741808,0.000004817598,0.9987606,0.00003873728,0.0009000947],"genre_scores_gemma":[0.0006664873,0.0001405829,0.00009037963,0.00002528865,0.00001105202,0.0000344689,0.9971521,0.00002531485,0.001854393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5111852,"threshold_uncertainty_score":0.9719392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009190661469162443,"score_gpt":0.2662046285110123,"score_spread":0.2570139670418499,"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."}}