{"id":"W6887075470","doi":"10.15468/dl.qkw2xe","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); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009275312,0.00196616,0.001517916,0.004951022,0.000980217,0.002446958,0.002657555,0.001894314,0.1686468],"category_scores_gemma":[0.005807976,0.0009028878,0.001178756,0.009822753,0.0004482558,0.002172597,0.002532427,0.001782592,0.2271375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434948,"about_ca_system_score_gemma":0.002244539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01977344,"about_ca_topic_score_gemma":0.03207785,"domain_scores_codex":[0.9989879,0.0001360634,0.0001291497,0.0003645987,0.0002081563,0.0001742103],"domain_scores_gemma":[0.9976336,0.000655978,0.000227071,0.0006148883,0.0005966944,0.0002718102],"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":[0.00003152831,0.00001151521,0.0004041177,0.000524369,0.00001355046,0.00001413178,0.00002205128,0.0001265555,0.0001239114,0.0003487662,0.9968573,0.001522104],"study_design_scores_gemma":[0.0000737467,0.0000100092,0.001880014,0.0001800955,0.00001410839,0.00003578559,0.00007043035,0.0001451135,0.0001868052,0.0007552029,0.9966308,0.000017811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004825831,0.0000260643,0.00004093637,0.00003316087,0.0000129286,0.000005204134,0.9988137,0.0003699814,0.0006497591],"genre_scores_gemma":[0.0001658649,0.00003282524,0.000193817,0.00004569113,0.000003729303,0.00004206359,0.9988784,0.0001496685,0.0004878573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8313532,"threshold_uncertainty_score":0.5641797,"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."}}