{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008809998,0.0002635997,0.000720597,0.001446665,0.001556975,0.00222001,0.001245094,0.001025599,0.004467511],"category_scores_gemma":[0.005539337,0.000247485,0.0006253467,0.004327257,0.001446267,0.001130779,0.0009366749,0.0006660634,0.0003563937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008317576,"about_ca_system_score_gemma":0.005754763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9693406,"about_ca_topic_score_gemma":0.9840751,"domain_scores_codex":[0.9995556,0.0001021087,0.00001542676,0.00009382587,0.00006256192,0.000170481],"domain_scores_gemma":[0.9974226,0.0009915588,0.0002681628,0.0001216136,0.0005483731,0.0006477486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007165887,0.0002331756,0.7513043,0.0002440366,0.000288083,0.001463549,0.005048276,0.1762602,0.0005662281,0.02609017,0.01255624,0.02522919],"study_design_scores_gemma":[0.00005949456,0.00006532542,0.5908847,0.000121319,0.0001334554,0.0001965941,0.01680913,0.3737227,0.00027511,0.008959476,0.008652157,0.0001205798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993562,0.0005367718,0.001254766,0.0007077274,0.00001599456,0.00002676365,0.001732052,0.00003181929,0.002132038],"genre_scores_gemma":[0.9945451,0.0002851753,0.0005528963,0.00003445726,0.000007643026,0.00001193248,0.0008158885,0.00001327529,0.00373369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03065938,"threshold_uncertainty_score":0.06167984,"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."}}