{"id":"W6925285986","doi":"10.15468/dl.ue5idy","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Prenatal Substance Exposure Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.0008722437,0.001944599,0.001423341,0.004116277,0.0006901428,0.002194037,0.002612671,0.00171849,0.1202858],"category_scores_gemma":[0.005450513,0.0007565853,0.001151353,0.008492303,0.0003787189,0.001790679,0.002146588,0.001723552,0.1611503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474491,"about_ca_system_score_gemma":0.002367875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213342,"about_ca_topic_score_gemma":0.03711693,"domain_scores_codex":[0.9991136,0.0001378176,0.0001209503,0.0002988787,0.000200583,0.0001280556],"domain_scores_gemma":[0.9980618,0.0005682152,0.0002279302,0.0004484288,0.0004573551,0.0002362332],"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":[0.0000410697,0.00001237481,0.0005646726,0.0006216404,0.000021061,0.00001747923,0.00002207174,0.0001747702,0.0001044376,0.0004244794,0.9962866,0.0017094],"study_design_scores_gemma":[0.00008424653,0.000009526316,0.001987537,0.0001872759,0.00001775557,0.00003859567,0.0000504804,0.0001670132,0.0001863591,0.0008353984,0.9964191,0.00001670085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004500881,0.00003622214,0.00004014231,0.00003615956,0.00001097233,0.000004396742,0.9989454,0.0003130464,0.0005686241],"genre_scores_gemma":[0.0001804567,0.00005127575,0.0001762235,0.00004739827,0.000003590991,0.00003689751,0.9988682,0.0001111153,0.000524753],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8797142,"threshold_uncertainty_score":0.4023962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164599963713459,"score_gpt":0.2267074738932259,"score_spread":0.2150614742560913,"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."}}