{"id":"W6943905358","doi":"10.15468/dl.w227q6","title":"Occurrence Download","year":2024,"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); Alien; Range (aeronautics)","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":[0.000883263,0.002036516,0.00158014,0.005616041,0.0009636488,0.002811153,0.002761379,0.001836778,0.1966256],"category_scores_gemma":[0.005939937,0.0009711051,0.001276416,0.01179889,0.0004355137,0.002417066,0.002761017,0.001874578,0.2762263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613725,"about_ca_system_score_gemma":0.002516309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02145742,"about_ca_topic_score_gemma":0.0354702,"domain_scores_codex":[0.9989117,0.0001390692,0.0001481077,0.0003870049,0.0002314226,0.0001826424],"domain_scores_gemma":[0.9976157,0.0006219822,0.000227454,0.0006233911,0.0006455766,0.0002659481],"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":[0.00002830735,0.000009215265,0.000339873,0.0005725625,0.00001297729,0.00001340757,0.00002308689,0.0001031878,0.0001045558,0.0003980657,0.9966632,0.00173163],"study_design_scores_gemma":[0.00004952855,0.000006530904,0.00124752,0.0001572086,0.00001169958,0.00002989389,0.00005688357,0.0001008674,0.0001481039,0.0006656306,0.9975119,0.00001433639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003487304,0.00002989786,0.00004674964,0.00003136722,0.00001160424,0.000004967112,0.9986289,0.0004214821,0.0007901721],"genre_scores_gemma":[0.0001481255,0.00004548287,0.0002380545,0.00004873098,0.00000379411,0.00004203498,0.9985942,0.0002000832,0.000679511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8033744,"threshold_uncertainty_score":0.6577781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}