{"id":"W6943175861","doi":"10.15468/dl.ls8xhb","title":"Occurrence Download","year":2020,"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","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":[0.0009932464,0.001888191,0.001480146,0.005160196,0.0008328112,0.002293649,0.002595624,0.001811831,0.1515436],"category_scores_gemma":[0.00579647,0.0008892844,0.001090287,0.01038469,0.0004347505,0.002104206,0.002480685,0.001837717,0.2079641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482764,"about_ca_system_score_gemma":0.002265276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02051104,"about_ca_topic_score_gemma":0.03329398,"domain_scores_codex":[0.998925,0.0001432956,0.0001504876,0.0003601224,0.0002419406,0.000179091],"domain_scores_gemma":[0.9971916,0.0007285891,0.000288235,0.0007608875,0.0007024168,0.0003282625],"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":[0.00003343728,0.00001191497,0.0004200766,0.0005561285,0.00001598925,0.00001501041,0.00002367091,0.0001349047,0.0001308925,0.0003809091,0.9967176,0.001559442],"study_design_scores_gemma":[0.00007121993,0.000008736961,0.002281662,0.0001827919,0.00001467047,0.00003634209,0.00006978749,0.0001445144,0.0002102317,0.0007493066,0.9962127,0.00001803945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003547679,0.00001847275,0.00003345196,0.00002561429,0.000008661373,0.000004258764,0.9991201,0.0002704788,0.0004834539],"genre_scores_gemma":[0.0001366379,0.0000258021,0.0001630993,0.00003632545,0.000002885078,0.00003355329,0.999087,0.0001072313,0.0004074871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8484564,"threshold_uncertainty_score":0.5069637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}