{"id":"W6905657591","doi":"10.15468/dl.tmmc4j","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); 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":[0.000734618,0.002286859,0.002007118,0.00622468,0.001381481,0.003813432,0.002914363,0.002519966,0.2565682],"category_scores_gemma":[0.006104692,0.0009356809,0.001489011,0.01061517,0.0003891048,0.004273626,0.003424224,0.002434941,0.3741174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689614,"about_ca_system_score_gemma":0.002613376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0181535,"about_ca_topic_score_gemma":0.0373171,"domain_scores_codex":[0.998834,0.0001385396,0.0001705567,0.0004091127,0.0002654721,0.0001823954],"domain_scores_gemma":[0.997668,0.000567291,0.0001764893,0.0005561685,0.0007274698,0.0003045945],"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":[0.0000393593,0.00001272408,0.0002780179,0.0006374429,0.00001330414,0.00002291394,0.00002388497,0.00009614614,0.0001067422,0.0005279988,0.9952717,0.002969727],"study_design_scores_gemma":[0.00004426218,0.000009350535,0.0009700036,0.0001662328,0.00001122052,0.00004629511,0.00007424881,0.0002291076,0.0001399862,0.001142767,0.9971491,0.00001755918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007481372,0.0001033306,0.0001537891,0.00009696601,0.00003349851,0.00001227909,0.9947903,0.00183606,0.002899024],"genre_scores_gemma":[0.0002874162,0.0001019161,0.0005084056,0.0001136289,0.00001020974,0.00004787429,0.9969206,0.0004512809,0.001558706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7434318,"threshold_uncertainty_score":0.8583062,"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."}}