{"id":"W6906023773","doi":"10.15468/dl.xyew34","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); Point (geometry); Reference 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":[0.0009184582,0.001958369,0.001568374,0.004740678,0.0009924632,0.002407181,0.002803583,0.002098179,0.1463151],"category_scores_gemma":[0.00540243,0.0008890845,0.001197322,0.009332637,0.0004456258,0.002175548,0.002587712,0.001960445,0.2114563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623785,"about_ca_system_score_gemma":0.00227769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02256052,"about_ca_topic_score_gemma":0.03687278,"domain_scores_codex":[0.9990346,0.0001240515,0.0001209644,0.0003387811,0.0002161554,0.0001653727],"domain_scores_gemma":[0.9978322,0.0005774527,0.0002111367,0.0005906214,0.0005307804,0.0002577959],"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":[0.00003112507,0.00001184427,0.0004376857,0.0005585034,0.00001627556,0.00001629524,0.00002823832,0.0001406305,0.0001453047,0.0004235778,0.9966125,0.001577971],"study_design_scores_gemma":[0.00006788078,0.000007982046,0.001978484,0.00018516,0.00001430908,0.00003755883,0.00007588814,0.0001569251,0.0001959118,0.0007129405,0.9965497,0.00001722543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004589875,0.00002679373,0.00004672166,0.00003317716,0.00001171447,0.000005042682,0.9988031,0.0004115819,0.0006159462],"genre_scores_gemma":[0.0001635093,0.00002971538,0.0001965108,0.00004122661,0.000003038085,0.00003826513,0.9989654,0.0001470064,0.0004152508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8536848,"threshold_uncertainty_score":0.4894729,"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."}}