{"id":"W6961925536","doi":"10.15468/dl.96vsh5","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0008565431,0.001883656,0.001488568,0.005240216,0.0008809796,0.002475873,0.002525476,0.001822393,0.1696195],"category_scores_gemma":[0.0055673,0.0008441773,0.001081063,0.01080596,0.0003851628,0.002191207,0.002237316,0.001750796,0.2211113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545897,"about_ca_system_score_gemma":0.002225365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02346309,"about_ca_topic_score_gemma":0.03802602,"domain_scores_codex":[0.9989973,0.0001420435,0.0001413662,0.0003393336,0.0002140451,0.0001659527],"domain_scores_gemma":[0.9976682,0.0006315033,0.0002465393,0.0005220591,0.0006512689,0.0002804336],"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":[0.00003118081,0.00001002055,0.0003899633,0.0004892355,0.00001419859,0.00001243232,0.00001759056,0.000124841,0.00008642746,0.0003350541,0.9970336,0.0014555],"study_design_scores_gemma":[0.00007366962,0.000008089601,0.001850256,0.0001827967,0.00001415436,0.00003073945,0.00005897556,0.0001537804,0.0001518098,0.0007340985,0.9967254,0.00001620254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003454457,0.00002425897,0.00003191696,0.00002792725,0.000009068449,0.000004014123,0.9990716,0.0002387363,0.0005579807],"genre_scores_gemma":[0.000155369,0.00003535966,0.000155603,0.00004220555,0.000003636876,0.00003351945,0.9989717,0.0001055821,0.0004970438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8303806,"threshold_uncertainty_score":0.5674337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459951099954365,"score_gpt":0.1870318828227369,"score_spread":0.1724323718231933,"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."}}