{"id":"W6926263940","doi":"10.22008/fk2/wp1tr3/x6nlkb","title":"c50tf5.rtl","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001212073,0.002458937,0.002007893,0.00377207,0.0008222472,0.002934448,0.003520599,0.002890525,0.1967586],"category_scores_gemma":[0.007156782,0.0009807317,0.001540649,0.007256059,0.0005370071,0.001511062,0.001947089,0.001741687,0.2454686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523886,"about_ca_system_score_gemma":0.002414709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04194364,"about_ca_topic_score_gemma":0.05587741,"domain_scores_codex":[0.9989001,0.0002212353,0.0001146642,0.000342393,0.0002042425,0.0002174382],"domain_scores_gemma":[0.9978582,0.0006505555,0.0002002703,0.000540605,0.0004840386,0.0002662696],"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":[0.00003617097,0.00001026081,0.0003236131,0.0003251806,0.00001973477,0.000007412467,0.000008875912,0.0002082361,0.0000282042,0.0002511366,0.9979158,0.0008653075],"study_design_scores_gemma":[0.0004550435,0.00002337412,0.00277578,0.0003517996,0.0000349844,0.00004719889,0.00006011631,0.0006056748,0.0001889641,0.001497349,0.9939278,0.00003183413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002923667,0.0000253532,0.00002374763,0.0000286547,0.00001182892,0.00000366347,0.9993648,0.0001873517,0.0003254011],"genre_scores_gemma":[0.0001982832,0.00003235422,0.0001087399,0.00003965178,0.00000749285,0.00003508897,0.999005,0.00008309905,0.0004902686],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8032414,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0462690403699795,"score_gpt":0.3316304101149419,"score_spread":0.2853613697449624,"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."}}