{"id":"W6924621400","doi":"10.15468/dl.yvprut","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Maternal Mental Health During Pregnancy and Postpartum","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Data collection","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":[0.001089617,0.001899322,0.001491484,0.004572076,0.0009395463,0.002501013,0.002718275,0.002000469,0.1458586],"category_scores_gemma":[0.006473532,0.0009011106,0.001181309,0.008610901,0.0004569891,0.001946988,0.002366848,0.001959648,0.1980358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651818,"about_ca_system_score_gemma":0.00240042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02473333,"about_ca_topic_score_gemma":0.03956827,"domain_scores_codex":[0.9990168,0.0001494356,0.0001338743,0.0003404692,0.0002091405,0.0001503435],"domain_scores_gemma":[0.997429,0.0008064501,0.0002516299,0.0006076747,0.0006097787,0.0002956152],"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":[0.0000313817,0.00001108847,0.0004534826,0.0005245272,0.00001601898,0.00001629341,0.00002472088,0.0001324774,0.00009862865,0.0003470338,0.9970157,0.001328621],"study_design_scores_gemma":[0.0000905769,0.000009114076,0.002394788,0.0002196662,0.00001719365,0.00004387232,0.00007914705,0.0001798938,0.0001805304,0.0007597328,0.9960069,0.00001857301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003787315,0.00002486334,0.0000391234,0.00003572426,0.00001009733,0.000004846797,0.9990141,0.0003186596,0.0005145972],"genre_scores_gemma":[0.0001527839,0.00003140957,0.0001778527,0.00004457645,0.000003239903,0.00003751147,0.9990333,0.0001244841,0.00039491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8541414,"threshold_uncertainty_score":0.4879456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01991464428623812,"score_gpt":0.2590150106119096,"score_spread":0.2391003663256715,"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."}}