{"id":"W2006433573","doi":"","title":"Montana Nonresident Traveler Expenditure Profiles: Quarter 1, 2010","year":2012,"lang":"en","type":"article","venue":"The Mathematics Enthusiast","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Business; Geography; Archaeology","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":[0.0001407616,0.0002211541,0.0001617597,0.00139197,0.0006795144,0.0007720142,0.0003509871,0.0001893154,0.004128936],"category_scores_gemma":[0.0005380215,0.0001088083,0.0001907439,0.003098305,0.0001101107,0.0003881286,0.0004947287,0.0003537273,0.0009750554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003167255,"about_ca_system_score_gemma":0.002389082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.772094,"about_ca_topic_score_gemma":0.9338779,"domain_scores_codex":[0.9998679,0.00001105162,0.000007295733,0.0000202241,0.00004101062,0.00005247875],"domain_scores_gemma":[0.9995276,0.00001775515,0.0001242278,0.00001277898,0.0002197337,0.00009786573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000348092,0.0000945737,0.9248077,0.0001270193,0.0000736663,0.0001467352,0.001629277,0.0005425349,0.001103388,0.0005084082,0.04446584,0.0261527],"study_design_scores_gemma":[0.000002268195,0.00001611335,0.9915188,0.0000116256,0.000007538685,0.00003985257,0.001289477,0.0001788972,0.0001074463,0.00001146767,0.006811034,0.000005491487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9427944,0.00048843,0.00007224712,0.0005680454,0.000009704881,0.00002100188,0.04228612,0.00007226103,0.0136878],"genre_scores_gemma":[0.8738747,0.001314766,0.0003589405,0.0002252311,0.00002709854,0.00004339231,0.09045774,0.00003688781,0.03366124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.772094,"threshold_uncertainty_score":0.4584965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0301777469871042,"score_gpt":0.2888669489215452,"score_spread":0.258689201934441,"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."}}