{"id":"W6961790534","doi":"10.15468/dl.ps9g7u","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); Set (abstract data type); Data set","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":[0.0009218485,0.001915089,0.00154536,0.004624233,0.0009396958,0.002295674,0.002741416,0.001949145,0.1509777],"category_scores_gemma":[0.00528399,0.0008956323,0.001142271,0.009035488,0.0004442394,0.002106088,0.002452865,0.001971788,0.2068835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571104,"about_ca_system_score_gemma":0.002169114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02231574,"about_ca_topic_score_gemma":0.0369817,"domain_scores_codex":[0.9990942,0.0001183813,0.0001116114,0.0003152587,0.0002041182,0.0001563811],"domain_scores_gemma":[0.9978814,0.0005894738,0.0002055349,0.0005618049,0.0005116301,0.000250172],"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":[0.00002856665,0.00001153014,0.0003952262,0.0005214225,0.00001475137,0.00001488315,0.0000262485,0.0001379704,0.0001317913,0.0003866463,0.9968176,0.001513284],"study_design_scores_gemma":[0.00007368324,0.000007824447,0.001975451,0.0001891264,0.00001412003,0.00003777341,0.00007588601,0.0001621075,0.0002016689,0.0007183884,0.9965265,0.00001731611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004703812,0.00002558655,0.00004718917,0.00003294709,0.00001128296,0.000005189945,0.9988188,0.0003969532,0.0006150237],"genre_scores_gemma":[0.0001637644,0.00003007753,0.000205048,0.00003966661,0.00000300135,0.0000407242,0.9989377,0.0001540575,0.0004260542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8490223,"threshold_uncertainty_score":0.5050708,"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."}}