{"id":"W6924700627","doi":"10.15468/dl.q8mv59","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); 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":[0.0009660702,0.002064717,0.001471599,0.004272121,0.001069231,0.002424053,0.002969356,0.002241413,0.1296178],"category_scores_gemma":[0.00564736,0.0008581133,0.001380019,0.007463783,0.000441312,0.002292934,0.00240566,0.002136839,0.2039616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612163,"about_ca_system_score_gemma":0.002220799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02091571,"about_ca_topic_score_gemma":0.04030373,"domain_scores_codex":[0.9989904,0.0001631234,0.0001191996,0.0003610914,0.0002125194,0.000153617],"domain_scores_gemma":[0.9978206,0.0006266473,0.0001800874,0.0005827219,0.0005287856,0.0002612008],"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":[0.00002762056,0.00001420646,0.000382081,0.0004319194,0.00001387647,0.00001428234,0.00001944737,0.0001194001,0.00008493406,0.0002932138,0.99728,0.001318933],"study_design_scores_gemma":[0.00009278542,0.00001174816,0.002194818,0.0001952475,0.00001636108,0.00004801013,0.00008399702,0.0002546799,0.0001947226,0.0009529758,0.9959344,0.00002037773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006036769,0.00003900963,0.00005368794,0.00005466462,0.00001611506,0.000007995242,0.9985772,0.0004814422,0.000709557],"genre_scores_gemma":[0.0001744812,0.00003636749,0.0002159773,0.0000566254,0.00000422441,0.0000497189,0.9988571,0.0001203394,0.0004851013],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8703822,"threshold_uncertainty_score":0.4336146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05301710965838893,"score_gpt":0.3416755428347545,"score_spread":0.2886584331763656,"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."}}