{"id":"W6962457684","doi":"10.15468/dl.pgyrcc","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); Column (typography); Order (exchange)","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":[0.001018001,0.001981362,0.001561947,0.004419106,0.001014901,0.002469396,0.002911932,0.002084058,0.1393777],"category_scores_gemma":[0.005669491,0.0009068702,0.001203466,0.008833992,0.0004404986,0.002263092,0.002471714,0.002037729,0.1997504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657264,"about_ca_system_score_gemma":0.002311766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02350345,"about_ca_topic_score_gemma":0.03807632,"domain_scores_codex":[0.9990113,0.0001326788,0.0001216772,0.0003432745,0.0002252706,0.0001656808],"domain_scores_gemma":[0.9977484,0.000626637,0.0002042449,0.0006141443,0.0005449781,0.0002615558],"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":[0.0000291273,0.00001174583,0.000376852,0.0004670193,0.00001442675,0.00001501515,0.00002284453,0.0001270534,0.000124808,0.0003888999,0.997076,0.001346154],"study_design_scores_gemma":[0.00007575288,0.000008294004,0.001944143,0.0001781265,0.00001425233,0.00003955342,0.00007127884,0.0001778576,0.0002213713,0.0007904057,0.9964607,0.00001817772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004626703,0.00002701505,0.00005112344,0.0000374956,0.00001204792,0.000005569706,0.9987317,0.0004529716,0.0006358682],"genre_scores_gemma":[0.0001594824,0.0000286579,0.0001973232,0.00004165153,0.000003027953,0.00003926469,0.9989904,0.0001496307,0.0003905264],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8606223,"threshold_uncertainty_score":0.4662647,"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."}}