{"id":"W6924484489","doi":"10.15468/dl.vtw4x2","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Education and Digital Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); 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":[0.0008765035,0.001903293,0.001445876,0.005487622,0.0009558048,0.002305857,0.002562174,0.001970184,0.1152635],"category_scores_gemma":[0.004949223,0.0008254813,0.001146063,0.01021526,0.0004684888,0.001971108,0.002420064,0.00189813,0.1783768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686809,"about_ca_system_score_gemma":0.002409621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02557,"about_ca_topic_score_gemma":0.04490064,"domain_scores_codex":[0.9990131,0.0001294067,0.0001420402,0.0003130703,0.0002311,0.0001712298],"domain_scores_gemma":[0.9977762,0.0005413201,0.0002246958,0.0005827788,0.0006079033,0.0002670421],"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":[0.00003705718,0.00001417612,0.0004821922,0.0006292331,0.00001698366,0.00002102348,0.00002921352,0.0001469688,0.00016581,0.0004362232,0.9963714,0.001649686],"study_design_scores_gemma":[0.00007286992,0.000008052857,0.002181035,0.0001832563,0.00001317568,0.00004170421,0.00007613593,0.0001428445,0.0002102022,0.0006343575,0.9964197,0.00001664365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005514099,0.00002806446,0.00003864406,0.00003199373,0.00001091954,0.00000601831,0.9988765,0.0003316591,0.0006210193],"genre_scores_gemma":[0.0001619839,0.00003337683,0.0001759951,0.00003850501,0.000003132386,0.00003577545,0.9990575,0.0001074634,0.0003863439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8847365,"threshold_uncertainty_score":0.3855947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0386184249375868,"score_gpt":0.2894530270231409,"score_spread":0.2508346020855541,"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."}}