{"id":"W3022690544","doi":"","title":"Monitoring changes in biodiversity over Canada during the past three decades using a dynamic habitat index derived from a long-term AVHRR record","year":2010,"lang":"en","type":"article","venue":"AGUFM","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Biodiversity; Habitat; Geography; Term (time); Ecology; Environmental resource management; Remote sensing; Environmental science; Biology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000149592,0.0001242753,0.0001529837,0.00008425936,0.0003852602,0.00003601351,0.0003374087,0.0001419231,0.0005382281],"category_scores_gemma":[0.00003479954,0.0000954249,0.00002518168,0.0001663656,0.0001857994,0.0001143622,0.00005325574,0.0005536886,0.00003310454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007440543,"about_ca_system_score_gemma":0.0001036535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7152724,"about_ca_topic_score_gemma":0.999304,"domain_scores_codex":[0.9989578,0.00008528175,0.0001082112,0.0002540522,0.0001660722,0.0004285608],"domain_scores_gemma":[0.999337,0.0002966557,0.00005324664,0.0002041004,0.00002156824,0.00008743984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005046911,0.000004579922,0.998273,0.00001070541,0.00001997766,0.0001830102,0.0001217051,0.0001072006,0.0004832867,9.834643e-8,0.000002730752,0.000743206],"study_design_scores_gemma":[0.000257429,0.00001171562,0.997088,0.00002005218,0.000008495468,0.00002438089,0.00009544639,0.002156901,0.0001789384,0.00003571711,0.000007245263,0.0001157095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981538,0.0002938999,0.000003161319,0.0006040944,0.0007178656,0.0001288405,0.00004089714,0.00001408277,0.00004333363],"genre_scores_gemma":[0.9997061,0.00004671086,0.00007452683,0.00005785768,0.00007761648,0.000001229457,0.00001916255,0.000001939826,0.00001483561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2840316,"threshold_uncertainty_score":0.5893221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811797422115836,"score_gpt":0.2336701622040682,"score_spread":0.2155521879829098,"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."}}