{"id":"W6887099483","doi":"10.15468/dl.q3ez5h","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); Real world data; Reference data","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":[0.001035961,0.0019473,0.00164841,0.005151323,0.00102398,0.002681512,0.002935169,0.002074518,0.1724129],"category_scores_gemma":[0.005945272,0.0009507725,0.00117872,0.009988468,0.0004763016,0.0024502,0.002693513,0.002086099,0.2384683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496186,"about_ca_system_score_gemma":0.002246994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01753173,"about_ca_topic_score_gemma":0.03072714,"domain_scores_codex":[0.9989718,0.0001413125,0.0001276883,0.0003702198,0.0002191155,0.0001698318],"domain_scores_gemma":[0.9975865,0.0006896812,0.0002237358,0.0006475716,0.0005741041,0.0002784629],"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":[0.00002707406,0.00001137633,0.0003561073,0.0005823071,0.0000149196,0.0000141752,0.00002431917,0.0001230157,0.0001215279,0.0003964001,0.9968331,0.001495534],"study_design_scores_gemma":[0.00006224778,0.00000728869,0.001503796,0.0001873512,0.00001314984,0.00003285366,0.00006905938,0.0001259433,0.0001711286,0.0007583329,0.9970524,0.00001639985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004163908,0.00002959317,0.00004895607,0.00003450826,0.00001322634,0.000005408867,0.9988127,0.0003568696,0.0006571498],"genre_scores_gemma":[0.0001577179,0.00003642404,0.0002121337,0.00004569405,0.00000373855,0.00004551347,0.9988422,0.0001599444,0.0004966311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8275871,"threshold_uncertainty_score":0.5767785,"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."}}