{"id":"W6999052978","doi":"","title":"Canada VMap1, Library 16: Population Text Features","year":2016,"lang":"en","type":"other","venue":"The Faculty Digital Archive (New York University)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Product (mathematics); Population; Geographic information system; Base (topology); Natural resource; Topographic map (neuroanatomy)","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":[],"consensus_categories":[],"category_scores_codex":[0.0000453324,0.0002393623,0.0002448394,0.0003172745,0.0006300626,0.0001858675,0.0007558278,0.0001183326,0.0006380769],"category_scores_gemma":[0.00003320926,0.0001680603,0.0001389078,0.0004147835,0.0003204745,0.0004937932,0.0002317828,0.0001569098,0.000227667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001828612,"about_ca_system_score_gemma":0.0007569132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8091556,"about_ca_topic_score_gemma":0.8840961,"domain_scores_codex":[0.998676,0.00008464071,0.0001409441,0.0002181128,0.0005190946,0.0003612298],"domain_scores_gemma":[0.9991561,0.0001279675,0.0002856711,0.0002332009,0.00002346502,0.0001735657],"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":[0.00001155582,0.00000403501,0.001542372,0.00001025192,0.0001116313,0.000004979278,0.001844667,8.017243e-7,4.884946e-8,0.04515095,0.9479037,0.003415021],"study_design_scores_gemma":[0.0001846131,0.000007348131,0.002809526,0.0001219681,0.00002152906,9.451757e-7,0.007267647,7.076311e-8,2.320319e-7,0.001254391,0.9880925,0.000239188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004742412,0.00007254411,0.00007461858,0.002241589,0.0003281141,0.0004014176,0.002675255,0.0002483622,0.9939107],"genre_scores_gemma":[0.01333904,0.00006049901,0.00003511769,0.0001526865,0.0004370189,6.883723e-7,0.0006287407,0.00005988694,0.9852863],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0749404,"threshold_uncertainty_score":0.6986495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255667484824741,"score_gpt":0.2076573565356449,"score_spread":0.1951006816873975,"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."}}