{"id":"W6962123456","doi":"10.15468/dl.rmpff4","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":[0.0009454664,0.001922459,0.001543672,0.004764748,0.0009454776,0.002345725,0.002671971,0.001974228,0.1515475],"category_scores_gemma":[0.005698786,0.0009213252,0.00115554,0.00945146,0.0004456092,0.002178903,0.002478598,0.001985614,0.2000778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615375,"about_ca_system_score_gemma":0.002280859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02374613,"about_ca_topic_score_gemma":0.03770619,"domain_scores_codex":[0.9990631,0.0001229877,0.0001188615,0.0003194258,0.0002153217,0.00016038],"domain_scores_gemma":[0.9977247,0.0006572418,0.0002157295,0.000600288,0.0005402085,0.0002618441],"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":[0.00002906464,0.00001136537,0.0004075884,0.0005418069,0.00001526015,0.00001617694,0.00002755997,0.0001415712,0.0001351323,0.0004069245,0.9967718,0.00149585],"study_design_scores_gemma":[0.00007195459,0.000007641051,0.001996299,0.0001851575,0.00001431152,0.00003921154,0.00007709522,0.0001638005,0.0002051785,0.0007522358,0.9964694,0.00001769072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004478536,0.00002420671,0.00004841058,0.00003313692,0.00001104726,0.000005092239,0.9988095,0.0004134491,0.0006103287],"genre_scores_gemma":[0.0001712096,0.00003082989,0.0002134147,0.00004080376,0.000003058753,0.00004082482,0.9989086,0.0001681852,0.0004230368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8484524,"threshold_uncertainty_score":0.506977,"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."}}