{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005825962,0.000145231,0.0004102891,0.0001821681,0.000340238,0.0002408194,0.000154751,0.0001397361,0.01037787],"category_scores_gemma":[0.00006646603,0.0001270895,0.00009211472,0.00124962,0.00003855601,0.00001539607,0.0000840106,0.0002003101,0.0003986776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009300929,"about_ca_system_score_gemma":0.0003514244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01523951,"about_ca_topic_score_gemma":0.0006857492,"domain_scores_codex":[0.9992813,0.00002853897,0.0001190334,0.000252441,0.0001747529,0.0001439429],"domain_scores_gemma":[0.9992577,0.00001053449,0.00009529835,0.0003952103,0.00007298611,0.000168237],"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":[0.000009711801,0.00006763579,0.00005177235,0.000009369807,0.000292171,0.0000104823,0.00004307304,0.000001506007,0.000001704948,4.948416e-7,0.9990413,0.000470773],"study_design_scores_gemma":[0.0004385077,0.00009093892,0.000004030539,0.0001552319,0.0004267347,0.00001195807,0.0002383564,0.00004117774,0.0000067555,0.00001569076,0.9984384,0.0001322264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[2.503532e-7,0.0002361925,0.0001388027,0.0001986334,0.0003812281,0.0003182158,0.0001056174,0.0001484601,0.9984726],"genre_scores_gemma":[0.00001701712,0.0000739301,0.002417109,0.0001248858,0.0007258187,0.00007581501,0.0001017336,0.0002191345,0.9962445],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01455376,"threshold_uncertainty_score":0.9913181,"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."}}