{"id":"W7083694203","doi":"10.15468/dl.x59szk","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Neuroendocrine regulation and behavior","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; 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":[0.0009568316,0.002440099,0.001652224,0.004776623,0.001004774,0.002534974,0.003028773,0.002161792,0.1258793],"category_scores_gemma":[0.005184944,0.0008690324,0.001346644,0.008332464,0.0004690923,0.00209487,0.002567837,0.002034964,0.2040239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581312,"about_ca_system_score_gemma":0.002360994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01996321,"about_ca_topic_score_gemma":0.03633101,"domain_scores_codex":[0.9989304,0.0001499098,0.0001295748,0.0003773299,0.0002370425,0.0001757079],"domain_scores_gemma":[0.9979025,0.0005199877,0.0001980074,0.0005681922,0.0005348341,0.0002765068],"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":[0.00004022064,0.00001473037,0.0003734498,0.0005530068,0.00001793731,0.00001570407,0.00001745728,0.0001302827,0.0001386363,0.0003402676,0.9968137,0.001544616],"study_design_scores_gemma":[0.0001085394,0.00001420814,0.002153743,0.0001904127,0.00001966492,0.00004856419,0.0000563449,0.0002118249,0.000241363,0.0009321563,0.9960014,0.0000216912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006100203,0.00004585979,0.00004784918,0.0000410151,0.00001542354,0.000006848711,0.9985875,0.0005126966,0.0006819106],"genre_scores_gemma":[0.0001547973,0.00003894993,0.0001831406,0.00005012811,0.000003714674,0.00003708598,0.9989629,0.0001178346,0.0004514969],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8741207,"threshold_uncertainty_score":0.4211081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126196960492357,"score_gpt":0.2847755258204422,"score_spread":0.2635135562155187,"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."}}