{"id":"W6924974299","doi":"10.15468/dl.q8etkb","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)","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":[0.0009182701,0.001928225,0.001515345,0.005090043,0.001019707,0.002446805,0.002823582,0.002030767,0.16689],"category_scores_gemma":[0.005928236,0.000870098,0.001216532,0.009839668,0.000422585,0.002472614,0.002675612,0.001907305,0.2326923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782573,"about_ca_system_score_gemma":0.002619934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03061553,"about_ca_topic_score_gemma":0.04929546,"domain_scores_codex":[0.9989654,0.0001225161,0.0001256714,0.0003573756,0.0002465634,0.0001825747],"domain_scores_gemma":[0.9974517,0.0006396137,0.0002312166,0.0006779874,0.0006989415,0.0003004807],"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":[0.0000272756,0.000009965338,0.000371155,0.0004011896,0.00001283711,0.00001306112,0.00002036962,0.0001198428,0.0001042954,0.0003333666,0.9971962,0.001390472],"study_design_scores_gemma":[0.00006684203,0.000008038644,0.001944181,0.0001659791,0.00001332866,0.00003358485,0.00007329332,0.0001691666,0.0001894744,0.0007536098,0.9965649,0.00001759979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003811353,0.00001995669,0.00004087137,0.00003338691,0.00001084018,0.000004792319,0.9988191,0.0004102259,0.0006227031],"genre_scores_gemma":[0.0001428838,0.00002518842,0.0001797052,0.00003841453,0.000003072519,0.00003294253,0.9989663,0.0001435053,0.0004679402],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.83311,"threshold_uncertainty_score":0.5583028,"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."}}