{"id":"W6887230442","doi":"10.15468/dl.udagbx","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); State (computer science)","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":[0.0009037787,0.002057648,0.00150735,0.004865353,0.0009687584,0.002414841,0.002640261,0.001959721,0.1595747],"category_scores_gemma":[0.005865644,0.0008934741,0.00119086,0.00973918,0.000447396,0.002129007,0.002479611,0.001814505,0.2183315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479978,"about_ca_system_score_gemma":0.002273442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02143884,"about_ca_topic_score_gemma":0.03482206,"domain_scores_codex":[0.9989901,0.0001369973,0.0001261544,0.0003617399,0.0002138518,0.0001711049],"domain_scores_gemma":[0.9976427,0.0006701503,0.000226351,0.0006091672,0.0005875886,0.000264014],"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":[0.00003143127,0.00001146412,0.0004094563,0.000529855,0.00001410436,0.00001483149,0.00002268825,0.0001384432,0.0001269246,0.0003710444,0.9968209,0.001508816],"study_design_scores_gemma":[0.00007189161,0.000009711367,0.001784841,0.0001771183,0.00001428578,0.00003535075,0.00006725902,0.0001581057,0.0001917707,0.0007801,0.9966915,0.00001811654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004735223,0.00002689353,0.0000429698,0.00003337812,0.00001249148,0.000005054687,0.9987894,0.0003957271,0.0006468368],"genre_scores_gemma":[0.000167984,0.00003415445,0.0002057207,0.00004576463,0.000003613473,0.0000419496,0.998857,0.0001578826,0.0004859551],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8404253,"threshold_uncertainty_score":0.5338305,"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."}}