{"id":"W6901521874","doi":"10.6068/dp14ba7ebe3a860","title":"Trend 1996 - 2004. Statistics Canada. CANSIM: Travel and Tourism - Domestic Travel | Country: Canada | Table: Canadian travel survey, activity participation, by province of destination | Variable: Fishing | Units: # Person-trips x 1,000, 1996-2004. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-199.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Census; Economic statistics; Official statistics; Descriptive statistics; Socioeconomic status; Fishing; Summary statistics","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":[0.002382854,0.002530903,0.002623801,0.008685777,0.00334651,0.004786137,0.004967295,0.001332861,0.08991171],"category_scores_gemma":[0.01681332,0.001849282,0.002106491,0.04150768,0.0006250362,0.002565516,0.002162477,0.003168121,0.04987036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06697862,"about_ca_system_score_gemma":0.155111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965438,"about_ca_topic_score_gemma":0.9947969,"domain_scores_codex":[0.9954866,0.0003156946,0.0004990707,0.0005185147,0.002179783,0.001000468],"domain_scores_gemma":[0.9667587,0.0009882274,0.0009389695,0.0008358898,0.02887739,0.001600954],"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":[0.00003038168,0.000007876002,0.001270046,0.000301879,0.00002479553,0.000008174687,0.00002830721,0.0001155442,0.00001063588,0.0003949337,0.9954745,0.002332862],"study_design_scores_gemma":[0.0001476736,0.0000169157,0.03516228,0.001002265,0.00009068612,0.00003189566,0.0006379656,0.0005051804,0.0001714253,0.0005719486,0.9615662,0.00009556876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007931646,0.00008995098,0.00003766455,0.0001708921,0.00004760542,0.00002605752,0.9979655,0.00007508064,0.001507908],"genre_scores_gemma":[0.001437871,0.0005825359,0.0006419607,0.000234469,0.00002540395,0.000203258,0.9886066,0.0001590306,0.008108874],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08991171,"threshold_uncertainty_score":0.4859661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036507802145134,"score_gpt":0.2576723943686882,"score_spread":0.2211645922235542,"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."}}