{"id":"W6945491232","doi":"10.25318/2110008601-eng","title":"Travel arrangement services, summary statistics, by North American Industry Classification System (NAICS), inactive","year":2020,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profit margin; Table (database); Reservation; Margin (machine learning); Profit (economics)","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001013469,0.0004438697,0.0004214118,0.00004708696,0.0002480067,0.0001079415,0.0004735787,0.0001947553,0.00272191],"category_scores_gemma":[0.00007898895,0.0005018032,0.00002538131,0.0005155081,0.0002015573,0.00009760971,0.0001388742,0.0006370361,0.0002528094],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006411657,"about_ca_system_score_gemma":0.0001791987,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3871877,"about_ca_topic_score_gemma":0.8869458,"domain_scores_codex":[0.9970234,0.0001154184,0.000552245,0.0006608642,0.001213159,0.0004349321],"domain_scores_gemma":[0.9981784,0.0001487006,0.0008030456,0.0003984934,0.0000987236,0.0003726525],"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":[0.00002168356,0.00007119411,0.0006713573,0.0003597964,0.00003958737,0.00003325662,0.00005500751,0.000002561545,0.00004997619,0.0001358642,0.9965574,0.002002329],"study_design_scores_gemma":[0.0001734441,0.00008528505,0.1949515,0.00006569584,0.0001759127,0.000003079251,0.01020183,0.000259087,0.00005625275,0.000003526322,0.7934083,0.0006160845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003636701,0.00001649735,0.001368739,0.0001811677,0.0004013559,0.0004991821,0.9967272,0.00003039382,0.0004117716],"genre_scores_gemma":[0.005554158,0.0001646247,0.0001794756,0.000364876,0.00006380034,0.0001201114,0.9933259,0.00003534905,0.0001916891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4997582,"threshold_uncertainty_score":0.9997433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041085044094376,"score_gpt":0.2375916822550848,"score_spread":0.227180831814141,"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."}}