{"id":"W6924725258","doi":"10.15468/dl.rggvc2","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); Alien","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":[0.001064617,0.001978975,0.001672891,0.005225601,0.001088492,0.002717384,0.002903822,0.002247676,0.1666778],"category_scores_gemma":[0.006421555,0.000926983,0.001282335,0.009807497,0.0004593217,0.002416995,0.002641918,0.002131503,0.2404831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646214,"about_ca_system_score_gemma":0.002482017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172252,"about_ca_topic_score_gemma":0.03485962,"domain_scores_codex":[0.9989008,0.0001439825,0.000135059,0.0003874584,0.0002448529,0.0001878534],"domain_scores_gemma":[0.9972454,0.0007845965,0.000246269,0.0007092648,0.0006968187,0.0003176155],"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":[0.00002852745,0.00001189978,0.0003732137,0.0005446944,0.00001412001,0.00001479015,0.00002280273,0.0001132598,0.0001246602,0.0003580177,0.996988,0.001405973],"study_design_scores_gemma":[0.0000703265,0.000009044628,0.001891012,0.000213734,0.00001505191,0.00003614633,0.00007597722,0.0001434573,0.0002009556,0.000772384,0.9965535,0.0000183601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003865486,0.00002566383,0.00004021647,0.00003660393,0.00001206997,0.000005429576,0.9988612,0.0003630322,0.0006171719],"genre_scores_gemma":[0.0001484683,0.00003312719,0.0001936634,0.00004740072,0.000003498707,0.00004366288,0.9989009,0.0001486981,0.0004805841],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8333222,"threshold_uncertainty_score":0.5575929,"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."}}