{"id":"W6913171700","doi":"10.5281/zenodo.7011042","title":"Atlas Sur del Lago. Municipio Colón","year":2022,"lang":"es","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geography and Education Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atlas (anatomy); Rural population; Quarter (Canadian coin)","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":[0.0002638527,0.0009326066,0.0003120453,0.003698173,0.001801538,0.002448048,0.0005513921,0.0005218073,0.1824049],"category_scores_gemma":[0.0007426469,0.0003768307,0.0001970082,0.008293399,0.0004977963,0.001304135,0.001492045,0.0007856071,0.04553956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286466,"about_ca_system_score_gemma":0.00480178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1827182,"about_ca_topic_score_gemma":0.3196074,"domain_scores_codex":[0.9997385,0.00004132665,0.00003027077,0.00004799601,0.00006510777,0.00007678473],"domain_scores_gemma":[0.9995542,0.00005022537,0.00007273457,0.00003735089,0.0001868437,0.00009867977],"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":[0.0002422174,0.00001968328,0.007299484,0.001449073,0.00000842775,0.0007620591,0.001565431,0.0002689043,0.000713288,0.01316288,0.8354981,0.1390105],"study_design_scores_gemma":[0.000004493406,0.000004511221,0.004975731,0.0001437155,0.000001123557,0.000100748,0.0004656114,0.000009518131,0.00003313232,0.0002651241,0.993993,0.000003289294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01406437,0.04839267,0.001138377,0.003780744,0.005503248,0.0003908678,0.2407588,0.001286097,0.6846848],"genre_scores_gemma":[0.06151523,0.03461254,0.003611026,0.0009903831,0.0006976408,0.0004435465,0.1068593,0.0005408541,0.7907294],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1827182,"threshold_uncertainty_score":0.6102053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06764150535972671,"score_gpt":0.3158438339979376,"score_spread":0.2482023286382109,"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."}}