{"id":"W6887093634","doi":"10.15468/dl.nk6t7r","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); Listing (finance); Range (aeronautics); 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":[0.001110876,0.002008986,0.001707386,0.005875315,0.001052206,0.002936501,0.002876154,0.001897793,0.2140434],"category_scores_gemma":[0.006263658,0.001040297,0.001173335,0.01108642,0.0004804271,0.002484014,0.002914956,0.00199584,0.2712589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877242,"about_ca_system_score_gemma":0.002703341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02700313,"about_ca_topic_score_gemma":0.04177507,"domain_scores_codex":[0.9990197,0.0001181646,0.0001240228,0.0003222538,0.0002301821,0.0001856912],"domain_scores_gemma":[0.9974927,0.0006952992,0.0002373854,0.0006147932,0.0006635129,0.0002963974],"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":[0.00002559831,0.000007908379,0.0002797131,0.0005635874,0.00001269949,0.00001343459,0.00002335481,0.00008661606,0.0001022385,0.0004079823,0.9970952,0.001381736],"study_design_scores_gemma":[0.00006083968,0.000005452466,0.001435415,0.0002144915,0.00001250197,0.00002887968,0.00005802717,0.00009001285,0.0001559956,0.0007245715,0.9971986,0.00001526378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002288765,0.00001929468,0.00003556237,0.00002617069,0.000008874126,0.000004583391,0.9988928,0.0003196917,0.0006701112],"genre_scores_gemma":[0.0001305736,0.00003668591,0.0001912106,0.00004511424,0.000003153363,0.00004401549,0.9988151,0.0002097178,0.000524499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7859566,"threshold_uncertainty_score":0.7160464,"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."}}