{"id":"W7100035973","doi":"","title":"IrIsh Forestry 41 The macrofungal component of biodiversity in","year":2016,"lang":"en","type":"article","venue":"","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Irish; Generalist and specialist species; Picea abies; Global biodiversity; Species diversity; Forest ecology","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":[0.0004231298,0.0001586833,0.0001463258,0.002182511,0.0007882948,0.00147218,0.0001878605,0.0001136297,0.005180607],"category_scores_gemma":[0.0003421894,0.00008416794,0.0001155109,0.002238905,0.0004564096,0.0004234177,0.0007184679,0.0002627501,0.0006147071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002306233,"about_ca_system_score_gemma":0.002194154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09564295,"about_ca_topic_score_gemma":0.36068,"domain_scores_codex":[0.9995992,0.00003348342,0.00001981129,0.00006239,0.0001432586,0.0001420267],"domain_scores_gemma":[0.9995152,0.0000342153,0.0001171525,0.00002267566,0.0001608557,0.0001499696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001770276,0.00008250908,0.7530859,0.0002652166,0.00004515781,0.000888848,0.004246606,0.0002607045,0.005875212,0.001527061,0.01169596,0.2218499],"study_design_scores_gemma":[0.000001240042,0.00001782602,0.9763187,0.00003362284,0.000003155778,0.0002021854,0.001714558,0.00003222801,0.0001192711,0.000045773,0.02150759,0.000003831769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8939884,0.003940478,0.0001958054,0.0007008056,0.00005893628,0.00007051098,0.00322807,0.00003608799,0.09778098],"genre_scores_gemma":[0.9762888,0.001957407,0.0008802991,0.0001863291,0.0000285512,0.00002860639,0.003004657,0.00001293193,0.01761247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09564295,"threshold_uncertainty_score":0.1901725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03858769623685324,"score_gpt":0.2095464097997765,"score_spread":0.1709587135629232,"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."}}