{"id":"W6906078256","doi":"10.15468/dl.tqaztg","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":[0.0009585881,0.00200036,0.001622358,0.004713902,0.0009891998,0.002552814,0.002827982,0.002149255,0.156769],"category_scores_gemma":[0.005782343,0.0009089438,0.001240658,0.009338687,0.0004429313,0.00221973,0.002588914,0.001969436,0.2212256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016986,"about_ca_system_score_gemma":0.002403829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02526809,"about_ca_topic_score_gemma":0.03969236,"domain_scores_codex":[0.9990306,0.0001267509,0.0001223997,0.000330211,0.0002272589,0.0001628175],"domain_scores_gemma":[0.9978002,0.0006086942,0.0002016788,0.0005830913,0.0005575673,0.0002486931],"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":[0.00002954727,0.00001109869,0.0003821217,0.000523678,0.00001528536,0.00001533489,0.00002481502,0.0001382502,0.0001184113,0.0003900607,0.9968889,0.001462429],"study_design_scores_gemma":[0.00007836657,0.000008260849,0.00187529,0.0001953326,0.00001490855,0.0000384468,0.00007594912,0.0001737319,0.0001976059,0.0007889757,0.9965347,0.00001840501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004095325,0.00002693829,0.00004488891,0.00003521406,0.00001110805,0.000005051621,0.9988128,0.0004278127,0.0005953559],"genre_scores_gemma":[0.0001591384,0.00003179813,0.0001950558,0.00004184899,0.000003058992,0.00003888089,0.9989467,0.0001568261,0.0004266405],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.843231,"threshold_uncertainty_score":0.5244447,"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."}}