{"id":"W6887088073","doi":"10.15468/dl.r2fre2","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); Range (aeronautics); Context (archaeology); Order (exchange)","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":[0.0009577263,0.002011097,0.001615669,0.00466308,0.0009918083,0.002423564,0.00280274,0.002121585,0.1401386],"category_scores_gemma":[0.005650475,0.0009211908,0.001211358,0.009186069,0.0004506015,0.002169934,0.002509672,0.002054303,0.2004731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616408,"about_ca_system_score_gemma":0.002301959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02227885,"about_ca_topic_score_gemma":0.03644331,"domain_scores_codex":[0.9990116,0.0001313326,0.0001261037,0.0003439449,0.0002186729,0.0001683105],"domain_scores_gemma":[0.9977836,0.0006205511,0.0002089467,0.0005974114,0.0005290288,0.0002604469],"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":[0.00003112803,0.00001242924,0.0004297048,0.0005599846,0.000016299,0.00001606424,0.00002652116,0.0001483546,0.0001423229,0.0003943568,0.9967244,0.001498494],"study_design_scores_gemma":[0.00007603738,0.000008637344,0.00200941,0.0001979271,0.0000153755,0.00003992885,0.00007977583,0.0001747463,0.0002072636,0.000727652,0.9964452,0.00001806776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004566114,0.00002701934,0.00004472394,0.00003351144,0.00001187392,0.000004925166,0.9989055,0.0003658396,0.0005608719],"genre_scores_gemma":[0.0001543986,0.00003057159,0.0001913104,0.00003832182,0.000002838063,0.00003701725,0.9990389,0.0001283311,0.000378324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8598614,"threshold_uncertainty_score":0.4688104,"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."}}