{"id":"W6931064654","doi":"10.5281/zenodo.3867158","title":"Xestoiulus graciliventris","year":2017,"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":"BC Research (Canada)","funders":"","keywords":"Distribution (mathematics); Habitat; Natural (archaeology); Plant litter","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":[],"consensus_categories":[],"category_scores_codex":[0.00006929237,0.0004086533,0.0002283664,0.001123145,0.0006501944,0.0002807983,0.000441751,0.0004332855,0.02183718],"category_scores_gemma":[0.000395067,0.0001602007,0.0001329269,0.0006946294,0.0004934594,0.0006024466,0.0006639178,0.0003461949,0.005230831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000264088,"about_ca_system_score_gemma":0.0001589568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004043063,"about_ca_topic_score_gemma":0.008094879,"domain_scores_codex":[0.9998896,0.0000118333,0.00001384588,0.00003241865,0.00003312016,0.00001912228],"domain_scores_gemma":[0.9998285,0.00003175259,0.00008978897,0.000010399,0.00002236105,0.00001721771],"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":[0.0003868644,0.00009677289,0.03558806,0.0009414469,0.00006490287,0.002583406,0.0007113934,0.001027322,0.03225783,0.00469476,0.02399935,0.8976479],"study_design_scores_gemma":[0.00008852541,0.0005220468,0.6477493,0.000779951,0.00008423599,0.008552353,0.001107238,0.0008236935,0.006297035,0.001784606,0.3321673,0.0000437227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3352312,0.02473131,0.005582898,0.001118577,0.0009867491,0.000338299,0.008389239,0.0009942506,0.6226276],"genre_scores_gemma":[0.9426451,0.004807397,0.004267036,0.0005852215,0.0002638325,0.0001552914,0.005000263,0.00004759534,0.04222827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02183718,"threshold_uncertainty_score":0.07305264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04264205962951225,"score_gpt":0.2942267749201514,"score_spread":0.2515847152906392,"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."}}