{"id":"W2142841414","doi":"10.15287/afr.2011.101","title":"Modeling the travel distances of debris flows and debris slides: quantifying hillside morphology","year":2011,"lang":"en","type":"article","venue":"Annals of Forest Research","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrain; Outlier; Regression analysis; Debris; Regression; Mass movement; Statistics; Geography; Cartography; Geology; Computer science; Mathematics; Meteorology; Landslide; Geomorphology","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":[0.0005100027,0.0007502349,0.0004116159,0.001079334,0.0005016811,0.001238981,0.001215841,0.0007088154,0.002164076],"category_scores_gemma":[0.001314356,0.0004404223,0.0008021463,0.001030224,0.0004528234,0.0006797716,0.0004883224,0.0007250914,0.0005224498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003419926,"about_ca_system_score_gemma":0.002652011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3636937,"about_ca_topic_score_gemma":0.3019209,"domain_scores_codex":[0.9997814,0.00003089107,0.00001033421,0.00008533594,0.00004107295,0.00005085034],"domain_scores_gemma":[0.9994949,0.0002206919,0.0001041689,0.00002731292,0.0001083668,0.00004454986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004663094,0.00005183624,0.02696432,0.00003347192,0.00003718629,0.0000464783,0.0001099663,0.9594603,0.0006964814,0.001932276,0.0005438571,0.01007722],"study_design_scores_gemma":[0.00000518709,0.0000242743,0.009989872,0.00000635364,0.00001485637,0.0000266675,0.00004386166,0.9886962,0.0001575888,0.0006206791,0.0004007621,0.00001362989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8069291,0.0001708319,0.1837055,0.0002711899,0.00002279449,0.0002260922,0.003675399,0.0006171456,0.004381859],"genre_scores_gemma":[0.9638262,0.0001507687,0.02833569,0.0000178708,0.000007337049,0.000192928,0.001618405,0.00006915832,0.005781591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3636937,"threshold_uncertainty_score":0.7231535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2089924042515352,"score_gpt":0.372071766679676,"score_spread":0.1630793624281407,"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."}}