{"id":"W7042953020","doi":"","title":"RESPONSES OF SALT-MARSH VEGETATION TO
\\nGRAZING BY LESSER SNOW GEESE
\\n(Anser caerulescens caerulescens).","year":2012,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Snow; Snow cover; Moorland; Vegetation cover","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":[0.0001111377,0.00009261363,0.0001249039,0.0001193955,0.0002063526,0.0002379808,0.0001875478,0.0001717002,0.003339006],"category_scores_gemma":[0.0004689188,0.00008402392,0.000111262,0.0001430476,0.0001935798,0.0001101109,0.0002407829,0.0001915823,0.000502562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004020412,"about_ca_system_score_gemma":0.000204297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06809375,"about_ca_topic_score_gemma":0.2185248,"domain_scores_codex":[0.9999328,0.00001613442,0.000003035906,0.00002312444,0.000008841165,0.00001617041],"domain_scores_gemma":[0.9996724,0.00006478098,0.00008600488,0.00001597252,0.00004681443,0.0001139699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002381639,0.0005571808,0.9119066,0.00006626628,0.0001686794,0.0002440686,0.002077422,0.0003989034,0.06158882,0.0001135739,0.004139161,0.01635773],"study_design_scores_gemma":[0.000002696051,0.00006634834,0.9991795,0.000001743085,0.000003770996,0.00000645354,0.0002122754,0.00009411133,0.0002185116,0.000009152452,0.0002033902,0.000001884368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990315,0.00002571489,0.00001289581,0.00001863103,0.000003484904,0.000003503365,0.0002789508,0.000002388165,0.0006228174],"genre_scores_gemma":[0.9965737,0.00004808684,0.00005378716,0.00003721363,0.000002592561,0.000009454279,0.0006209244,0.000003739773,0.002650514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06809375,"threshold_uncertainty_score":0.1353948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126031356781826,"score_gpt":0.1841933800379481,"score_spread":0.1729330664701299,"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."}}