{"id":"W6961834751","doi":"10.15468/dl.kpuhwz","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); Identification (biology); Feature (linguistics)","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":[0.0009696767,0.002029463,0.001587028,0.004697824,0.0009793984,0.002438814,0.002878096,0.002041703,0.1518914],"category_scores_gemma":[0.005591039,0.0009313063,0.001163999,0.009448586,0.0004628762,0.002241227,0.002544177,0.002054914,0.2163748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656402,"about_ca_system_score_gemma":0.002342057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02301916,"about_ca_topic_score_gemma":0.03796435,"domain_scores_codex":[0.9990428,0.0001259814,0.0001203736,0.0003346934,0.0002146897,0.0001613083],"domain_scores_gemma":[0.9977753,0.0006185216,0.0002097777,0.000582576,0.0005519149,0.0002619488],"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":[0.00002900818,0.00001119842,0.0003726757,0.0005223134,0.00001464145,0.00001493427,0.000026339,0.0001348583,0.0001321585,0.0004114632,0.9969156,0.001414802],"study_design_scores_gemma":[0.00006830884,0.000007270859,0.001688305,0.000171602,0.00001341633,0.0000354674,0.00007149283,0.000155211,0.0002015705,0.0007591157,0.9968107,0.00001738071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004305184,0.00002528685,0.00005047335,0.00003326932,0.0000118372,0.000005135997,0.9987372,0.0004296926,0.0006640551],"genre_scores_gemma":[0.0001599533,0.00003033789,0.0002133008,0.00004144042,0.000003000514,0.0000391921,0.9989109,0.0001730337,0.0004288464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8481085,"threshold_uncertainty_score":0.5081275,"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."}}