{"id":"W6962609206","doi":"10.15468/dl.wxatzv","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artemisia; Achillea millefolium; Orobanche; 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":[0.000746393,0.002350176,0.001996802,0.006871752,0.001315499,0.003901664,0.002776835,0.002438883,0.2185895],"category_scores_gemma":[0.006058501,0.000827622,0.001642699,0.01049755,0.0003807545,0.00396726,0.003317403,0.001997501,0.3322638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696489,"about_ca_system_score_gemma":0.002258612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01879131,"about_ca_topic_score_gemma":0.03497787,"domain_scores_codex":[0.9987889,0.0001360623,0.0001882272,0.000416816,0.0002698608,0.0002000985],"domain_scores_gemma":[0.9976962,0.0005462191,0.0001938287,0.0005397476,0.0007361051,0.0002878873],"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":[0.00005672075,0.00001610667,0.0004982433,0.0007044724,0.00001530039,0.00003743072,0.00002642327,0.0001181757,0.0001336693,0.0004880913,0.9939768,0.003928528],"study_design_scores_gemma":[0.00005469484,0.00001366434,0.001507298,0.0001996471,0.00001387988,0.00008059128,0.00009125337,0.0003445164,0.0001652405,0.001050902,0.9964584,0.00002000911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001066597,0.0001137035,0.0001422184,0.00009659059,0.00003416884,0.00001428992,0.9954046,0.001681723,0.002406016],"genre_scores_gemma":[0.0003272171,0.0000946154,0.0004690786,0.00009989557,0.00001080317,0.00004569497,0.9974898,0.0002803599,0.001182513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7814105,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249281382501793,"score_gpt":0.2530801667481442,"score_spread":0.2281520284979648,"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."}}