{"id":"W6943207325","doi":"10.15468/dl.kceevp","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); 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":[0.001000279,0.001937397,0.001564917,0.00466567,0.0009811209,0.00247329,0.002837887,0.001984891,0.1638285],"category_scores_gemma":[0.005788896,0.000949105,0.001153607,0.009502282,0.0004640549,0.002221288,0.002571486,0.002016108,0.2159181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643927,"about_ca_system_score_gemma":0.002356963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02423766,"about_ca_topic_score_gemma":0.0390035,"domain_scores_codex":[0.9990388,0.0001271348,0.0001201325,0.0003333465,0.0002179198,0.0001626751],"domain_scores_gemma":[0.9977609,0.0006486713,0.0002053418,0.0005889026,0.0005419542,0.0002543283],"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":[0.00002809739,0.00001091744,0.0003824536,0.0005202334,0.00001484355,0.00001542112,0.00002812733,0.0001392548,0.0001316248,0.0004344485,0.9968224,0.001472269],"study_design_scores_gemma":[0.00006523944,0.00000684804,0.001703071,0.0001745305,0.00001310992,0.00003491303,0.00007568594,0.0001480057,0.0001903568,0.0007664287,0.9968048,0.00001706479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004183671,0.00002337579,0.00005082069,0.00003263047,0.0000111346,0.000005047882,0.9987687,0.0004164291,0.0006499632],"genre_scores_gemma":[0.0001650052,0.00002967558,0.0002168115,0.00004114698,0.000002912777,0.00004121575,0.9988841,0.0001817453,0.0004373929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8361715,"threshold_uncertainty_score":0.5480609,"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."}}