{"id":"W6924918044","doi":"10.15468/dl.tpx9c3","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Psychoanalysis and Psychopathology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0009800689,0.002295712,0.001496234,0.004481121,0.001021001,0.002490194,0.002980249,0.002084281,0.1144886],"category_scores_gemma":[0.006189076,0.0008347167,0.001359852,0.008364202,0.0004661628,0.002067027,0.002415183,0.002013091,0.1755909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725524,"about_ca_system_score_gemma":0.002548683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02601396,"about_ca_topic_score_gemma":0.04664225,"domain_scores_codex":[0.9989064,0.00015689,0.0001455433,0.0003770775,0.0002501598,0.0001639811],"domain_scores_gemma":[0.9976986,0.0006451295,0.0002100902,0.0005998752,0.0005836487,0.0002627072],"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":[0.0000332816,0.00001418027,0.0003944552,0.0004879067,0.00001541679,0.00001515254,0.00002194836,0.0001428835,0.0001019319,0.0003521447,0.9968665,0.001554115],"study_design_scores_gemma":[0.0001021533,0.00001274741,0.002025799,0.0001935085,0.00001701655,0.00004590898,0.0000772647,0.0002615332,0.0002104864,0.0009403132,0.9960927,0.00002053173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006554138,0.00004212897,0.0000555109,0.00004951618,0.00001565842,0.000007475569,0.9984762,0.0005921713,0.0006958384],"genre_scores_gemma":[0.0001714809,0.00003983925,0.0002442373,0.00004996537,0.000003687764,0.00004414713,0.9988384,0.0001366743,0.0004716502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8855115,"threshold_uncertainty_score":0.3830024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237164063034094,"score_gpt":0.3086387685926744,"score_spread":0.284922362289265,"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."}}