{"id":"W6943449930","doi":"10.15468/dl.lfv2m0","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dreissena; Download; Range (aeronautics); Matching (statistics); Invasive species","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":[0.000876357,0.00203329,0.001787651,0.006029823,0.001111536,0.003012497,0.002829251,0.00224676,0.1503416],"category_scores_gemma":[0.006208587,0.000959059,0.001476351,0.01092163,0.0004362446,0.002897191,0.002921542,0.001990276,0.2189266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664066,"about_ca_system_score_gemma":0.00230905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02139875,"about_ca_topic_score_gemma":0.03091198,"domain_scores_codex":[0.9989117,0.0001260471,0.0001602131,0.0003844734,0.000230761,0.0001868118],"domain_scores_gemma":[0.9976319,0.0006495506,0.0002215924,0.0006135089,0.0006302539,0.0002531422],"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":[0.00005752829,0.00001572466,0.0007241726,0.001060275,0.0000259167,0.00003479826,0.00004059326,0.000183161,0.0002404217,0.0005625152,0.9943678,0.002687208],"study_design_scores_gemma":[0.00006475077,0.000009110755,0.001985074,0.0002330231,0.00001674702,0.00005230817,0.00008990989,0.0001871717,0.000208781,0.0006856805,0.9964485,0.00001886343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006458065,0.00004715607,0.00006759944,0.00004388564,0.00001750777,0.000007273913,0.9981713,0.0007450625,0.0008356246],"genre_scores_gemma":[0.0002145951,0.00005747763,0.0002785908,0.0000587178,0.000004686611,0.00004283891,0.998656,0.0002229379,0.0004640677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8496584,"threshold_uncertainty_score":0.5029427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}