{"id":"W6912568483","doi":"10.5281/zenodo.3867100","title":"Mesoblaniulus serrula","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Distribution (mathematics); Process (computing); Work (physics)","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":[0.0001510589,0.0004845146,0.0002173271,0.001451644,0.0007241264,0.0002112177,0.0004110339,0.0003643564,0.01616626],"category_scores_gemma":[0.0002393656,0.0001734092,0.0002334804,0.0003432375,0.0003235102,0.0006004417,0.0005773,0.0002708934,0.005198652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003934413,"about_ca_system_score_gemma":0.0001535144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005626969,"about_ca_topic_score_gemma":0.01409786,"domain_scores_codex":[0.9999098,0.00001202576,0.000009114179,0.00002634254,0.00002236161,0.00002038488],"domain_scores_gemma":[0.9998306,0.00002195136,0.00008284823,0.00001095009,0.00002656872,0.00002710158],"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":[0.001198058,0.0002041548,0.06393867,0.001686276,0.0001437948,0.00286405,0.001644394,0.001930395,0.1320544,0.007718991,0.02858523,0.7580317],"study_design_scores_gemma":[0.00007134596,0.0007917606,0.7594516,0.0007706427,0.0001023982,0.004021617,0.0007442256,0.001044814,0.006444434,0.001168233,0.2253488,0.00004027151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4515442,0.02708246,0.004925577,0.0005659283,0.0007644391,0.0002498058,0.005282964,0.001201404,0.5083832],"genre_scores_gemma":[0.9806119,0.001675775,0.00238111,0.0001779133,0.0001276519,0.00006424124,0.002875094,0.00002532327,0.01206109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01616626,"threshold_uncertainty_score":0.05408156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03695894812454003,"score_gpt":0.2539991473683493,"score_spread":0.2170401992438093,"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."}}