{"id":"W6924429530","doi":"10.15468/dl.6ped8t","title":"Occurrence Download","year":2024,"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); Order (exchange); The Internet","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":[0.0009477179,0.001948881,0.001599446,0.005335279,0.001049619,0.002835641,0.002818316,0.002020486,0.1777976],"category_scores_gemma":[0.006549511,0.0009728873,0.001229563,0.01093353,0.0004449691,0.002508081,0.002676778,0.002132294,0.2478672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725371,"about_ca_system_score_gemma":0.002602241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02533453,"about_ca_topic_score_gemma":0.03928441,"domain_scores_codex":[0.998922,0.0001364907,0.0001330891,0.0003716389,0.0002582387,0.0001784565],"domain_scores_gemma":[0.9974828,0.0007017628,0.0002228857,0.0006594621,0.0006552712,0.00027787],"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":[0.00002528083,0.000009417954,0.0003267432,0.0004705927,0.00001301165,0.00001319499,0.00002354934,0.0001134731,0.00009545174,0.0004003555,0.99706,0.001448937],"study_design_scores_gemma":[0.00005782719,0.00000617277,0.001434927,0.0001721344,0.00001228314,0.00003066648,0.00007286524,0.0001388506,0.0001651967,0.0007741731,0.9971188,0.00001597434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003532162,0.00002561707,0.00004695739,0.00003927312,0.00001245014,0.000004942117,0.9986596,0.0004394642,0.0007364534],"genre_scores_gemma":[0.0001476215,0.00003628452,0.0002191351,0.00004393133,0.000003496752,0.0000406629,0.99872,0.0001945004,0.0005943003],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8222024,"threshold_uncertainty_score":0.5947921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}