{"id":"W6943092068","doi":"10.15468/dl.k6vk9q","title":"Occurrence Download","year":2022,"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); The Internet; Electronic mail","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":[0.0009258271,0.002014042,0.001578492,0.004510266,0.0009979636,0.002445869,0.002871923,0.002130427,0.1401759],"category_scores_gemma":[0.005912565,0.0009133462,0.001246209,0.009030605,0.0004550569,0.002271945,0.002577134,0.00201979,0.2046204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517324,"about_ca_system_score_gemma":0.002304911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172999,"about_ca_topic_score_gemma":0.0354547,"domain_scores_codex":[0.9990006,0.0001269554,0.0001259195,0.0003536461,0.0002311284,0.0001618013],"domain_scores_gemma":[0.9976495,0.0006493398,0.000212634,0.0006408977,0.0005787615,0.0002689613],"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":[0.00002977478,0.00001235459,0.000399189,0.0005156277,0.00001519892,0.00001532997,0.00002371049,0.0001406593,0.0001207566,0.0003440497,0.9969192,0.001464106],"study_design_scores_gemma":[0.0000777388,0.000009226486,0.00198837,0.0001872411,0.00001521768,0.00003891953,0.00007783606,0.0001834571,0.0002040025,0.0007383669,0.9964618,0.00001787316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004940569,0.00002825625,0.00004674854,0.00003857754,0.00001396645,0.00000563188,0.9987796,0.0004396407,0.0005981001],"genre_scores_gemma":[0.0001634055,0.00003141344,0.0002001483,0.00004273703,0.000003498303,0.00004187394,0.9989401,0.0001447702,0.0004321017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8598241,"threshold_uncertainty_score":0.468935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}