{"id":"W6905932519","doi":"10.15468/dl.yk4c74","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":"Matching (statistics); Range (aeronautics); Download; Identification (biology); 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":[0.0009311913,0.002009733,0.001638138,0.005117491,0.0009295877,0.002544632,0.002745606,0.001946337,0.158945],"category_scores_gemma":[0.005772726,0.0009663206,0.001171374,0.0102406,0.0004213879,0.002212371,0.002514485,0.001869207,0.2135424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505722,"about_ca_system_score_gemma":0.002316447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995262,"about_ca_topic_score_gemma":0.03327452,"domain_scores_codex":[0.9988952,0.0001480518,0.0001488041,0.0003970591,0.0002305706,0.0001802573],"domain_scores_gemma":[0.9974414,0.000692267,0.0002557744,0.0006771732,0.0006410592,0.0002923192],"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":[0.00003591741,0.00001208374,0.0003974034,0.0005826069,0.00001623841,0.00001426871,0.00002105269,0.0001264764,0.0001243997,0.0003857705,0.9968662,0.001417648],"study_design_scores_gemma":[0.00008128466,0.000009746295,0.001937323,0.0001853948,0.00001572163,0.00003517027,0.00006190248,0.0001431709,0.0001800737,0.0007834518,0.9965476,0.00001912326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003743295,0.00002336065,0.00003457976,0.00002825776,0.00001026649,0.000004544469,0.9990361,0.0002889122,0.0005366814],"genre_scores_gemma":[0.0001418873,0.00003237743,0.0001708765,0.00004347463,0.000003304662,0.00003856129,0.9990068,0.0001158844,0.0004467787],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.841055,"threshold_uncertainty_score":0.531724,"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."}}