{"id":"W6923901625","doi":"10.14288/1.0216155","title":"Mexico-South America","year":2015,"lang":"en","type":"other","venue":"Open Collections","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globe; Pacific Rim; Southeast asia; Government (linguistics)","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":[0.0001380375,0.0008394832,0.0002423262,0.0008802828,0.00172649,0.001639012,0.0002803743,0.000902199,0.5421695],"category_scores_gemma":[0.000350206,0.000178684,0.0002615988,0.001006104,0.0002624597,0.0007930868,0.001069607,0.0013196,0.1283237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009562602,"about_ca_system_score_gemma":0.001380724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03769164,"about_ca_topic_score_gemma":0.1751363,"domain_scores_codex":[0.9999276,0.000005367926,0.000002012282,0.00002001286,0.0000223024,0.00002264216],"domain_scores_gemma":[0.9997916,0.00002104465,0.00001754112,0.000009609568,0.00007751575,0.00008285258],"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":[0.00009977372,0.00004415815,0.001079302,0.0001751848,0.00000589096,0.0003543971,0.00008614126,0.0000374814,0.000845303,0.001716645,0.9002527,0.09530294],"study_design_scores_gemma":[0.0000118078,0.000009816017,0.00338656,0.0001083505,0.000005026759,0.0001560259,0.0001213614,0.00002377964,0.0001045301,0.0001770622,0.9958925,0.000003155737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00293936,0.005565297,0.0002841147,0.007660731,0.003322245,0.00007774038,0.005404212,0.0004719842,0.9742743],"genre_scores_gemma":[0.008789781,0.00571448,0.000540836,0.001634179,0.0009568293,0.0000459349,0.002768885,0.0001659729,0.9793832],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5421695,"threshold_uncertainty_score":0.6530396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03143161480345007,"score_gpt":0.3169479220049069,"score_spread":0.2855163072014568,"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."}}