{"id":"W6931302537","doi":"10.5281/zenodo.5472949","title":"Amastus mossi","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Type (biology); Population; Quarter (Canadian coin)","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":[],"consensus_categories":[],"category_scores_codex":[0.000193784,0.0007209068,0.000367127,0.002015102,0.001614862,0.000343877,0.0004064307,0.0005853711,0.01337625],"category_scores_gemma":[0.0006558063,0.0002423137,0.0001629561,0.0009108238,0.0008635338,0.001342881,0.00141745,0.0005433808,0.005366492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003836996,"about_ca_system_score_gemma":0.000313705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004333082,"about_ca_topic_score_gemma":0.008074222,"domain_scores_codex":[0.9997271,0.00005495518,0.00002356339,0.00007428276,0.0000739483,0.00004621965],"domain_scores_gemma":[0.9996039,0.00007507191,0.0001678584,0.00003248319,0.00007222074,0.00004840392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001590393,0.00016933,0.04293923,0.001905356,0.0001193598,0.005454567,0.005096351,0.0008012821,0.06741361,0.01311466,0.04184556,0.8195502],"study_design_scores_gemma":[0.0001637337,0.0006609982,0.3695836,0.001227516,0.0001735582,0.02398893,0.002697381,0.0009211019,0.005342923,0.005421038,0.5897373,0.00008193532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5960563,0.03538925,0.01696632,0.002293692,0.001482458,0.0006323778,0.003529974,0.001241919,0.3424078],"genre_scores_gemma":[0.9489776,0.006466676,0.007783114,0.0009312978,0.0004946248,0.0002013683,0.001162508,0.00005557223,0.03392726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01337625,"threshold_uncertainty_score":0.04474807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02541957377201336,"score_gpt":0.2625872482532216,"score_spread":0.2371676744812082,"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."}}