{"id":"W4301028258","doi":"","title":"Random walk with caribbos 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; Environmental 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":[0.001143929,0.0002386432,0.0003337946,0.00001878042,0.0001721294,0.0001871602,0.0003818136,0.0001219858,0.00005699243],"category_scores_gemma":[0.0003834745,0.0001163919,0.00003829049,0.0002456691,0.0001354322,0.00007564988,0.0005996604,0.000398429,0.000001022216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687698,"about_ca_system_score_gemma":0.0002646284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8579463,"about_ca_topic_score_gemma":0.9651459,"domain_scores_codex":[0.9972346,0.001365366,0.0002901579,0.0005851067,0.0002506955,0.0002740124],"domain_scores_gemma":[0.9983262,0.000679831,0.000151623,0.0001709901,0.0004735534,0.0001978217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000672226,0.00007834107,0.9721186,0.0001782038,0.00003870941,0.00002642329,0.003339988,0.00000297669,0.001567214,0.002825817,0.001476209,0.01828026],"study_design_scores_gemma":[0.0005477717,9.300327e-7,0.9908383,0.0003516218,0.00001792419,0.000004976292,0.0004397318,0.0003168329,0.003198976,0.001728927,0.00217483,0.0003792064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793081,0.0002556092,0.00003156713,0.01854445,0.00003806224,0.0004510204,0.00004452612,0.00003645924,0.00129015],"genre_scores_gemma":[0.9974443,0.0001736663,0.0008197176,0.00007980827,0.00001269561,0.00003951142,0.0002129966,0.000002226315,0.001215085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1071995,"threshold_uncertainty_score":0.4746324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245942400355753,"score_gpt":0.187045361490752,"score_spread":0.1745859374871945,"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."}}