{"id":"W6906204617","doi":"10.15468/dl.rrh85u","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artemisia; Orobanche; Achillea millefolium; Key (lock); Range (aeronautics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007549907,0.002257116,0.001980203,0.007019519,0.001321567,0.003951571,0.002733199,0.002389903,0.2254949],"category_scores_gemma":[0.006120576,0.0008248169,0.001599678,0.01073679,0.0003780381,0.003856241,0.003279021,0.001966509,0.334645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705256,"about_ca_system_score_gemma":0.002290949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01902679,"about_ca_topic_score_gemma":0.0351706,"domain_scores_codex":[0.9988023,0.0001340342,0.0001878066,0.0004116624,0.0002646157,0.0001996428],"domain_scores_gemma":[0.9976414,0.0005616987,0.0002019019,0.0005439347,0.0007570054,0.000294015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005627445,0.00001553359,0.0005019884,0.0007141096,0.00001520652,0.00003702583,0.00002687372,0.0001131895,0.0001331176,0.0005003762,0.9939832,0.003903112],"study_design_scores_gemma":[0.00005321715,0.00001297394,0.001507324,0.0002026186,0.00001378149,0.00007745525,0.00008883023,0.0003092595,0.000157732,0.001027019,0.9965305,0.00001935273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001004661,0.0001068533,0.0001326635,0.00009238243,0.00003227299,0.00001338466,0.9956493,0.001519919,0.002352794],"genre_scores_gemma":[0.0003161562,0.00009401072,0.0004482516,0.00009889281,0.00001063346,0.00004455374,0.9975176,0.0002762315,0.001193587],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7745051,"threshold_uncertainty_score":0.7543556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}