{"id":"W7000594588","doi":"","title":"Fire behaviour and impact on heather moorland","year":2006,"lang":"en","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moorland; Prescribed burn; Snow; Water content; Fencing; Debris; Fire regime; Vegetation (pathology); Habitat","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":[0.0002558427,0.00010818,0.0001134644,0.0002996412,0.0002506277,0.0003519506,0.0001374456,0.0001918746,0.00171954],"category_scores_gemma":[0.0005388752,0.00007202134,0.000126739,0.0002711947,0.0001616472,0.0001797232,0.0001593466,0.0001701767,0.0002984039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004171268,"about_ca_system_score_gemma":0.0001157963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01538181,"about_ca_topic_score_gemma":0.07092781,"domain_scores_codex":[0.9998859,0.00002982402,0.000006801777,0.0000262862,0.00002152165,0.00002960051],"domain_scores_gemma":[0.9996331,0.00008687645,0.0001525909,0.00002137236,0.00003474449,0.00007128503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003223705,0.0001924412,0.9864243,0.00001058734,0.00003842346,0.0001043816,0.0004830815,0.0003068677,0.003574096,0.00003796213,0.0001058002,0.008399711],"study_design_scores_gemma":[9.793879e-7,0.00008695385,0.9993136,0.000001557106,0.000002602176,0.00002953604,0.0001696144,0.0001360343,0.0001296249,0.000004451822,0.0001239883,0.000001081801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997047,0.00002005734,0.00001238116,0.000003842583,4.229637e-7,0.000001497404,0.00003607327,0.000001054651,0.0002199062],"genre_scores_gemma":[0.9989279,0.00005149591,0.00005837238,0.000007468473,0.000002082482,0.000003965108,0.0001749603,0.000002208902,0.0007716753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01538181,"threshold_uncertainty_score":0.03058457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568636795622167,"score_gpt":0.2921369896140844,"score_spread":0.2764506216578627,"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."}}