{"id":"W6906027791","doi":"10.15468/dl.utc9km","title":"Occurrence Download","year":2023,"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); Data set; Set (abstract data type)","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":[0.0009593433,0.001990867,0.001596208,0.004708974,0.0009602032,0.002375099,0.002830775,0.002047943,0.1419624],"category_scores_gemma":[0.00548808,0.000947415,0.00117312,0.009500474,0.0004706723,0.002121608,0.002532331,0.002046379,0.1976531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592436,"about_ca_system_score_gemma":0.002319277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02279799,"about_ca_topic_score_gemma":0.03708583,"domain_scores_codex":[0.9990559,0.0001211736,0.0001185768,0.0003267752,0.0002169694,0.0001605496],"domain_scores_gemma":[0.9978724,0.0005852595,0.0002043745,0.0005732493,0.0005130062,0.00025174],"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":[0.0000307068,0.0000119967,0.0004172767,0.0005758802,0.00001685951,0.00001621436,0.00002747717,0.0001545675,0.0001493186,0.0004233072,0.9966432,0.001533337],"study_design_scores_gemma":[0.00007652125,0.000008385133,0.001954144,0.0001871563,0.00001517945,0.00004038699,0.00007546764,0.0001699739,0.0002148914,0.0007511913,0.9964886,0.00001820252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004678557,0.00002781027,0.00004907506,0.00003359961,0.00001220293,0.000005177601,0.998836,0.0004114481,0.000577911],"genre_scores_gemma":[0.0001662728,0.00003219358,0.0002096852,0.00003953987,0.000003013311,0.00003882972,0.9989648,0.0001532282,0.0003924385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8580376,"threshold_uncertainty_score":0.4749115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}