{"id":"W6887163870","doi":"10.15468/dl.ugvfkj","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008953669,0.001800404,0.00153696,0.004950036,0.001052895,0.002907224,0.002663177,0.00180382,0.1910316],"category_scores_gemma":[0.00606243,0.0008878147,0.001343919,0.00982375,0.0004093102,0.002535162,0.002767318,0.001889021,0.2778516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386961,"about_ca_system_score_gemma":0.002318836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921149,"about_ca_topic_score_gemma":0.03112021,"domain_scores_codex":[0.9989433,0.0001296038,0.0001370663,0.0003786274,0.0002279542,0.0001834802],"domain_scores_gemma":[0.9975237,0.0006506147,0.0002049934,0.0006917823,0.000669956,0.0002588532],"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":[0.00003030726,0.000009861441,0.0004760875,0.0005304423,0.00001535957,0.00001716111,0.0000274053,0.0001302841,0.000127971,0.00039457,0.9960883,0.002152384],"study_design_scores_gemma":[0.00004733364,0.000006829163,0.001685468,0.0001625108,0.00001267565,0.00003573929,0.00007866413,0.0001612954,0.000176213,0.0007652154,0.996852,0.00001611743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005047068,0.00003230505,0.00007070042,0.0000429918,0.000017724,0.000006043271,0.9982386,0.0006611032,0.0008801218],"genre_scores_gemma":[0.0002013787,0.00004323116,0.0002832875,0.00005319572,0.000004919615,0.00004484881,0.998466,0.000245035,0.0006580125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8089684,"threshold_uncertainty_score":0.6390646,"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."}}