{"id":"W6906201630","doi":"10.15468/dl.z7uu8b","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":[0.0009543038,0.001949991,0.00157704,0.00478154,0.0009526155,0.002437874,0.002768338,0.002008389,0.1549132],"category_scores_gemma":[0.005685956,0.0009344599,0.001161027,0.009564674,0.0004483055,0.00219137,0.002504956,0.001992923,0.2065214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619808,"about_ca_system_score_gemma":0.002278904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02372208,"about_ca_topic_score_gemma":0.03765847,"domain_scores_codex":[0.9990607,0.00012139,0.0001179158,0.0003266126,0.0002152292,0.0001581662],"domain_scores_gemma":[0.9977663,0.0006428468,0.0002102648,0.0005814073,0.0005409422,0.0002582986],"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":[0.00002773835,0.00001085694,0.000393079,0.0005334329,0.0000151768,0.000014636,0.00002600249,0.0001419821,0.0001254322,0.0003952053,0.9968202,0.001496223],"study_design_scores_gemma":[0.00007218941,0.000007571423,0.001897524,0.0001833695,0.00001436884,0.00003641993,0.00007446093,0.0001664552,0.0001936746,0.0007485576,0.9965875,0.00001781569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004200958,0.00002511913,0.00004721386,0.00003283343,0.00001103404,0.000004936651,0.9988431,0.0003994055,0.0005942337],"genre_scores_gemma":[0.0001669691,0.0000320987,0.0002120024,0.00004153175,0.000003050081,0.00004095639,0.9989039,0.0001693818,0.0004301177],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8450868,"threshold_uncertainty_score":0.5182362,"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."}}