{"id":"W6905726572","doi":"10.15468/dl.m4uxd9","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); Set (abstract data type); Data set","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":[0.0009098367,0.002004763,0.00155675,0.00439359,0.0009132683,0.002324455,0.002786909,0.002007979,0.1362918],"category_scores_gemma":[0.005225153,0.0008832457,0.001212258,0.008840462,0.0004285803,0.002085462,0.002395973,0.001916983,0.193723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513258,"about_ca_system_score_gemma":0.002110326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0213805,"about_ca_topic_score_gemma":0.03358583,"domain_scores_codex":[0.9991058,0.0001176485,0.0001141371,0.0003162634,0.0001943044,0.0001519071],"domain_scores_gemma":[0.9979821,0.000562209,0.0001931267,0.0005497286,0.0004771769,0.0002356594],"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":[0.00003333138,0.0000127309,0.0004384365,0.000583001,0.00001759197,0.00001712323,0.00002665745,0.0001642516,0.0001488562,0.0003815868,0.9966073,0.001569193],"study_design_scores_gemma":[0.00008164409,0.000009108035,0.002130807,0.0001919693,0.0000162424,0.00004091073,0.00007827897,0.0001937547,0.0002181513,0.0007496378,0.9962707,0.00001885449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004869364,0.00002669846,0.00004648476,0.0000333247,0.00001213823,0.000005121105,0.9988612,0.0004106717,0.0005557569],"genre_scores_gemma":[0.000166759,0.00003023383,0.0001950949,0.00003896514,0.000003072941,0.0000383774,0.9990149,0.0001398126,0.0003728833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8637081,"threshold_uncertainty_score":0.4559417,"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."}}