{"id":"W6943521542","doi":"10.15468/dl.wy9dtw","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); Data set; Set (abstract data type)","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":[0.0008766932,0.001956959,0.001575443,0.004618863,0.0009944253,0.002597587,0.002843242,0.002094968,0.1673359],"category_scores_gemma":[0.006207958,0.0009424804,0.00118018,0.009913618,0.0004362918,0.002366253,0.002504403,0.002025177,0.2246532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696826,"about_ca_system_score_gemma":0.002308575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02562108,"about_ca_topic_score_gemma":0.03956785,"domain_scores_codex":[0.9990472,0.0001221237,0.0001177414,0.0003200092,0.0002342821,0.0001585934],"domain_scores_gemma":[0.9977155,0.0006544924,0.0001945569,0.0005752894,0.0006029981,0.0002572193],"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":[0.00002606555,0.00001074403,0.0003416554,0.0004700283,0.00001292571,0.00001341897,0.00002291066,0.0001208959,0.0000963421,0.0003383997,0.9971148,0.001431828],"study_design_scores_gemma":[0.00007584134,0.000007904649,0.001861362,0.0001982857,0.00001375377,0.00003721068,0.00008883153,0.0001863315,0.0001912926,0.0007893592,0.9965318,0.0000179947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004076674,0.00002567534,0.00004691678,0.00003732471,0.00001141969,0.000005049891,0.9987774,0.0004422052,0.0006131374],"genre_scores_gemma":[0.0001773173,0.00003341003,0.0002204053,0.00004197868,0.000003413372,0.00004275658,0.9988263,0.0001798709,0.000474498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8326641,"threshold_uncertainty_score":0.5597943,"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."}}