{"id":"W6905805043","doi":"10.15468/dl.pjshb4","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); 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":[0.001126631,0.002005488,0.001706499,0.005353883,0.001094236,0.002917913,0.00302863,0.002078875,0.1869364],"category_scores_gemma":[0.006844474,0.001025968,0.001199304,0.01053164,0.0004651836,0.002554859,0.002769822,0.002112903,0.2481673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650481,"about_ca_system_score_gemma":0.002456435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02161398,"about_ca_topic_score_gemma":0.03528327,"domain_scores_codex":[0.9988268,0.0001539745,0.0001551291,0.0004103469,0.0002615627,0.0001920748],"domain_scores_gemma":[0.9972183,0.0008156318,0.0002588143,0.0007173871,0.0006743044,0.0003157032],"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":[0.00002740458,0.000009667191,0.0003185482,0.00052078,0.00001404701,0.00001397693,0.00002345976,0.0001038481,0.0001038619,0.0003844156,0.9972204,0.001259604],"study_design_scores_gemma":[0.0000650705,0.000006759015,0.001571398,0.0001878671,0.00001408415,0.00003441272,0.00006820949,0.0001271421,0.0001740802,0.0007727438,0.9969607,0.00001743639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003208828,0.00002284968,0.00004586871,0.0000324504,0.00001095472,0.000004730111,0.9988577,0.0003651006,0.0006282392],"genre_scores_gemma":[0.0001411097,0.00003217653,0.0001930504,0.00004412779,0.000003338638,0.00004055492,0.9988711,0.000182515,0.000491971],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8130636,"threshold_uncertainty_score":0.6253644,"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."}}