{"id":"W6943516167","doi":"10.15468/dl.hp449v","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); Range (aeronautics); Data set; Set (abstract data type)","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":[0.001053413,0.001886345,0.001596871,0.00551936,0.0009589526,0.002589557,0.002733147,0.001899268,0.1754733],"category_scores_gemma":[0.006229759,0.0008979805,0.00117405,0.01051545,0.0004558314,0.002361965,0.002714713,0.001912006,0.2478669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520852,"about_ca_system_score_gemma":0.00246737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01977403,"about_ca_topic_score_gemma":0.03401953,"domain_scores_codex":[0.9988742,0.0001602107,0.0001503801,0.0003713533,0.0002555591,0.0001882803],"domain_scores_gemma":[0.9973578,0.0006982164,0.0002502894,0.0006892966,0.0006999579,0.0003044783],"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":[0.0000288323,0.000009516257,0.000323897,0.0005270424,0.00001466002,0.00001249843,0.00002029972,0.0001053935,0.0001151314,0.0003455061,0.9970059,0.001491338],"study_design_scores_gemma":[0.00006078399,0.000007386928,0.001605958,0.0001816659,0.00001367399,0.00003196634,0.00005885186,0.0001031871,0.0001743475,0.0006862004,0.9970605,0.00001555292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003549681,0.00002897193,0.00003971324,0.0000322586,0.00001106256,0.000005044467,0.9988538,0.0003251798,0.0006683264],"genre_scores_gemma":[0.0001490686,0.00003747245,0.0001730788,0.00004721852,0.000003675992,0.00003934997,0.9989073,0.0001411629,0.000501715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8245267,"threshold_uncertainty_score":0.5870167,"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."}}