{"id":"W2031754570","doi":"10.5194/nhess-10-1317-2010","title":"Spatial distribution of surface hoar crystals in sparse forests","year":2010,"lang":"en","type":"article","venue":"Natural hazards and earth system sciences","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Snow; Environmental science; Terrain; Scale (ratio); Remote sensing; Atmospheric sciences; Meteorology; Geology; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002504904,0.00008696529,0.0001649528,0.000968159,0.0002616497,0.0003642268,0.0001987148,0.0001433093,0.0007290634],"category_scores_gemma":[0.001124981,0.0000960588,0.0001307036,0.000655911,0.0002959915,0.0002202092,0.0003633624,0.00009989421,0.0001498828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002263336,"about_ca_system_score_gemma":0.0001169209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015961,"about_ca_topic_score_gemma":0.01719213,"domain_scores_codex":[0.9997767,0.0000367234,0.00001451911,0.00008143814,0.00004014415,0.00005042586],"domain_scores_gemma":[0.9986978,0.0004224302,0.0003700716,0.0001178197,0.0002797171,0.0001122979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001029673,0.00001411591,0.9913094,0.000008298404,0.0000285546,0.00004509435,0.0001841177,0.001008264,0.002671923,0.00006263305,0.00008838994,0.004476264],"study_design_scores_gemma":[0.000002380034,0.00001182756,0.9971671,0.000001831047,0.000005166693,0.00007074283,0.0001413329,0.002175972,0.0003034603,0.00003945472,0.00007798897,0.000002808536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995091,0.00001581082,0.0001544937,0.000002442333,3.793675e-7,0.000001238822,0.0001547249,0.000005502728,0.0001563505],"genre_scores_gemma":[0.9996511,0.00000533279,0.00008904767,7.692789e-7,7.813523e-7,0.000001259272,0.0002106788,0.000001477353,0.00003957191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01015961,"threshold_uncertainty_score":0.02020097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271024690851903,"score_gpt":0.2258593503488754,"score_spread":0.2131491034403564,"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."}}