{"id":"W6887014216","doi":"10.15468/dl.kum5my","title":"Occurrence Download","year":2022,"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); Alien; 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":[0.001029444,0.001913849,0.001595716,0.005300884,0.001005784,0.002676465,0.002662478,0.002049537,0.163305],"category_scores_gemma":[0.006520105,0.000858604,0.001234618,0.01027547,0.0004453426,0.00231828,0.002485314,0.001908994,0.237121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542093,"about_ca_system_score_gemma":0.002314866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02059962,"about_ca_topic_score_gemma":0.03249081,"domain_scores_codex":[0.998935,0.0001536438,0.0001388323,0.0003670345,0.0002316291,0.0001738093],"domain_scores_gemma":[0.9972595,0.0008160157,0.0002464073,0.000694857,0.0006938429,0.0002893743],"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":[0.0000275477,0.00001084835,0.0003996823,0.0005391987,0.00001379764,0.00001508387,0.00002225649,0.0001183964,0.000099318,0.0003278928,0.9969572,0.001468765],"study_design_scores_gemma":[0.00007129357,0.000009563842,0.002043405,0.0002220118,0.0000151508,0.00003885377,0.00008584037,0.0001626254,0.0001817754,0.0007432001,0.9964082,0.00001807083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004339774,0.00002897249,0.00004119707,0.00003915293,0.0000133376,0.000005742704,0.9988589,0.0003623051,0.000606979],"genre_scores_gemma":[0.0001626216,0.00003576671,0.0001862205,0.00004415884,0.000004279868,0.00004456723,0.9989298,0.0001362828,0.0004563084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8366951,"threshold_uncertainty_score":0.5463095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}