{"id":"W6893806674","doi":"10.5281/zenodo.4349674","title":"Galumna hudsoni Hammer 1952","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hammer; Tussock; Hydrology (agriculture); Vegetation (pathology)","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":[0.00007522202,0.0006661342,0.0003651061,0.001538479,0.001558111,0.0006173209,0.0008019644,0.0005464285,0.03632787],"category_scores_gemma":[0.0003340836,0.0002767135,0.0001458152,0.001022573,0.001106521,0.0005058699,0.001379468,0.0003914562,0.009452769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002011087,"about_ca_system_score_gemma":0.0007413179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1328595,"about_ca_topic_score_gemma":0.2108147,"domain_scores_codex":[0.9998866,0.00001129321,0.000004470581,0.00003593828,0.00002528866,0.00003634288],"domain_scores_gemma":[0.9998854,0.00002009217,0.00002743382,0.00001594791,0.00002918481,0.00002191769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003404159,0.00006428281,0.05944313,0.0005827705,0.00007573629,0.001995865,0.002041326,0.0006427978,0.0107353,0.007062329,0.1375302,0.7794856],"study_design_scores_gemma":[0.0001046571,0.00009958948,0.2918415,0.0004742475,0.00004845321,0.002123877,0.001591365,0.0002323395,0.001328286,0.001883661,0.7002321,0.00003997662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2402225,0.01821749,0.003061485,0.001404242,0.001076917,0.0005975894,0.01100656,0.00164175,0.7227714],"genre_scores_gemma":[0.8744758,0.003547822,0.002208462,0.001690559,0.0001313846,0.0001856226,0.004080154,0.00009208195,0.1135881],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1328595,"threshold_uncertainty_score":0.2641723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031901680095187,"score_gpt":0.2020467027814252,"score_spread":0.1817276859804733,"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."}}