{"id":"W6887180115","doi":"10.15468/dl.tzd5c9","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":"Download; Matching (statistics); Pteridium aquilinum; Range (aeronautics); Identification (biology)","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":[0.0009983063,0.001999897,0.001654024,0.005255148,0.0009414362,0.002477462,0.002703668,0.002105239,0.1529039],"category_scores_gemma":[0.005807585,0.0009229088,0.001213942,0.01030348,0.000454534,0.002163953,0.002579313,0.00190292,0.2051059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158213,"about_ca_system_score_gemma":0.002411156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02094877,"about_ca_topic_score_gemma":0.03315277,"domain_scores_codex":[0.9989403,0.0001392322,0.000146904,0.0003531617,0.0002408473,0.000179438],"domain_scores_gemma":[0.9975401,0.0006795016,0.0002443256,0.0006340885,0.000609475,0.0002925034],"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":[0.00003648618,0.00001274343,0.0004368352,0.0007184534,0.00001912805,0.00001819202,0.00002559208,0.0001379805,0.0001693167,0.0003930767,0.9964409,0.001591187],"study_design_scores_gemma":[0.00008544293,0.000009467276,0.00217274,0.0002201026,0.00001678012,0.00004282322,0.00006816271,0.0001353446,0.0002223387,0.0006601076,0.9963481,0.00001853246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000414151,0.00002933551,0.00003695794,0.00002999343,0.0000104937,0.00000506752,0.9990131,0.0003084157,0.0005253274],"genre_scores_gemma":[0.0001512472,0.00003439421,0.0001603578,0.00004021244,0.000003096869,0.00003753513,0.9990915,0.0001132911,0.0003684303],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8470961,"threshold_uncertainty_score":0.5115144,"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."}}