{"id":"W2737328457","doi":"","title":"Utjecaj čovjeka na bioraznolikost Kanade","year":2015,"lang":"hr","type":"dissertation","venue":"","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Biodiversity; Threatened species; Human settlement; Urban sprawl; Climate change; Ecosystem; Fauna; Vegetation (pathology); Ecology; Forestry; Environmental protection; Agroforestry; Land use; Environmental science; Biology; Habitat; Archaeology","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":[0.0003878881,0.000452585,0.0006757044,0.001249924,0.005450802,0.006354737,0.000488462,0.0005326985,0.02674592],"category_scores_gemma":[0.0005095201,0.0002738961,0.0002364555,0.002002926,0.002168095,0.001122559,0.001703519,0.002092564,0.006207043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008715956,"about_ca_system_score_gemma":0.02180586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2558346,"about_ca_topic_score_gemma":0.5926498,"domain_scores_codex":[0.9995329,0.00003913887,0.00001662127,0.00007773671,0.000192384,0.0001411733],"domain_scores_gemma":[0.9996397,0.00002434263,0.00002613521,0.00002009249,0.0001598504,0.0001299607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003217996,0.0002473685,0.01593613,0.003111377,0.0000627783,0.002594523,0.08531167,0.001326186,0.01446126,0.1590729,0.1426702,0.5748838],"study_design_scores_gemma":[0.000005645104,0.00002979322,0.02230072,0.0005230965,0.0000177015,0.0003642578,0.01290068,0.00008192367,0.0007685117,0.002443694,0.9605382,0.00002567552],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1835494,0.08734036,0.003831117,0.01768029,0.003015247,0.0002198656,0.004736188,0.0009709426,0.6986565],"genre_scores_gemma":[0.489181,0.047286,0.005865543,0.001201883,0.0002525094,0.00007236336,0.00134412,0.0003889117,0.4544077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7441654,"threshold_uncertainty_score":0.5086911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715331926773308,"score_gpt":0.2621156514529724,"score_spread":0.2249623321852393,"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."}}