{"id":"W7017694551","doi":"","title":"Belgrade Lakes Region: School Enrollment & School Districts","year":2010,"lang":"en","type":"article","venue":"Digital Commons - Colby (Colby College)","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Data collection; Watershed; Work (physics); Block (permutation group theory)","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":[0.0001633315,0.0005273017,0.0003456738,0.003064748,0.0004565565,0.001339748,0.0004961116,0.0001828915,0.03552578],"category_scores_gemma":[0.0005735002,0.0002180364,0.0002307499,0.006719068,0.0003661127,0.0004685406,0.0004582358,0.000295082,0.006607998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002649836,"about_ca_system_score_gemma":0.003198276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4049347,"about_ca_topic_score_gemma":0.415632,"domain_scores_codex":[0.9997274,0.00004939187,0.00001196078,0.00006223696,0.0000758742,0.00007306157],"domain_scores_gemma":[0.9997998,0.00001581183,0.00004533226,0.000007892741,0.00009744111,0.00003373546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002172628,0.0001021147,0.02655645,0.001089973,0.00006887174,0.0002300592,0.002128485,0.004064619,0.0008375721,0.01350732,0.7754337,0.1757636],"study_design_scores_gemma":[0.0000206415,0.0000120997,0.1434126,0.0001278601,0.000009192637,0.0000791983,0.000816434,0.0004044919,0.0001145355,0.000318695,0.854668,0.00001639829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09210059,0.01005156,0.004794452,0.002168035,0.0004874451,0.0006870247,0.5268112,0.003098461,0.3598012],"genre_scores_gemma":[0.5360489,0.007898382,0.03710916,0.0002757781,0.0001316603,0.0009173969,0.2290726,0.001065083,0.187481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4049347,"threshold_uncertainty_score":0.8051555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281176014999279,"score_gpt":0.2635432358115593,"score_spread":0.2407314756615665,"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."}}