{"id":"W6924605842","doi":"10.15468/dl.r35phb","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":"Matching (statistics); Download; Alien; Range (aeronautics)","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":[0.0009019291,0.002011963,0.001580795,0.005390202,0.0009431114,0.00264405,0.00262673,0.001914472,0.1830863],"category_scores_gemma":[0.005848852,0.0009702658,0.001158404,0.01069015,0.0004317624,0.00229234,0.002549179,0.001805408,0.2480376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559359,"about_ca_system_score_gemma":0.002336219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02178033,"about_ca_topic_score_gemma":0.03544933,"domain_scores_codex":[0.9989502,0.0001342062,0.000135688,0.0003773602,0.0002254221,0.0001771983],"domain_scores_gemma":[0.9975666,0.0006932915,0.0002377888,0.0006057474,0.0006243992,0.0002720974],"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":[0.00003184318,0.00001014105,0.0003623178,0.0005548016,0.00001396648,0.00001404973,0.00002193755,0.0001126712,0.0001136574,0.0003654366,0.9969317,0.001467433],"study_design_scores_gemma":[0.00006750047,0.000008257843,0.001746213,0.0001797093,0.00001329445,0.00003181052,0.00006113999,0.0001110626,0.0001667202,0.0007237747,0.9968736,0.00001709386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003568814,0.00002345817,0.00003356835,0.00002875317,0.00001004825,0.000004201316,0.9989152,0.0003084687,0.000640651],"genre_scores_gemma":[0.0001505668,0.00003469317,0.0001765625,0.00004471738,0.000003525377,0.00003832899,0.9988371,0.0001591874,0.000555302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8169137,"threshold_uncertainty_score":0.6124846,"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."}}