{"id":"W4293389767","doi":"","title":"Random walk with caribous and kangaroos: urban growth in Canada and Australia","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Random walk; Geography; Computer science; Statistics; Mathematics","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":[0.001144953,0.0002375279,0.0003347452,0.00001864401,0.0001735553,0.0001984218,0.0003797749,0.0001224644,0.00004142968],"category_scores_gemma":[0.000399163,0.0001159887,0.00003771098,0.0002443894,0.0001420528,0.00007311429,0.0005724214,0.0003924021,9.51241e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00017313,"about_ca_system_score_gemma":0.0002540376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8767834,"about_ca_topic_score_gemma":0.9688654,"domain_scores_codex":[0.997265,0.001339976,0.0002888469,0.0005825679,0.000247679,0.0002759685],"domain_scores_gemma":[0.9984427,0.0006642107,0.0001520333,0.0001695193,0.0003764828,0.0001950254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006970244,0.00008202023,0.97291,0.0001604286,0.00003951715,0.00003282309,0.003417586,0.000002259969,0.001287121,0.002194567,0.001391685,0.01841231],"study_design_scores_gemma":[0.0005147929,9.69367e-7,0.9914948,0.0003403815,0.00001751083,0.000006063777,0.0004376303,0.0002404189,0.002583021,0.001868028,0.002124033,0.0003723402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824326,0.0003408481,0.00003412146,0.01541637,0.000040802,0.0004025807,0.00004169343,0.0000378659,0.001253139],"genre_scores_gemma":[0.9975253,0.0002135678,0.0008287097,0.00008229294,0.00001280362,0.0000340566,0.0002335877,0.000002264417,0.001067383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09208197,"threshold_uncertainty_score":0.4729882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011945986657295,"score_gpt":0.186710825879109,"score_spread":0.174764839221814,"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."}}