{"id":"W4235756034","doi":"10.1515/iupac.88.0741","title":"Endocytosis","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Computer science; Linguistics; Philosophy","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":[0.001689924,0.001547804,0.001245811,0.004685136,0.001116622,0.00402449,0.00254697,0.001972847,0.2192242],"category_scores_gemma":[0.01397791,0.0006123203,0.00164376,0.007415589,0.000458411,0.00346531,0.003028393,0.00177761,0.2737877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810745,"about_ca_system_score_gemma":0.003348141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01566072,"about_ca_topic_score_gemma":0.02818748,"domain_scores_codex":[0.9971264,0.0004719421,0.0005869165,0.0008537027,0.0006378897,0.0003231848],"domain_scores_gemma":[0.9944711,0.001310773,0.0005557753,0.001378248,0.001948377,0.0003357754],"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":[0.00006536767,0.00001225022,0.0009069549,0.001037883,0.00002024544,0.00001906303,0.00003508506,0.0000840903,0.00008240552,0.001155699,0.9897419,0.006839069],"study_design_scores_gemma":[0.00005527948,0.000007797392,0.001723687,0.0005609613,0.00001249608,0.00004256929,0.00008328839,0.00008806206,0.0001201222,0.001081333,0.9962082,0.00001626873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001005585,0.0001331192,0.000142816,0.0001337978,0.00006238456,0.00003720303,0.995811,0.0003617142,0.003217472],"genre_scores_gemma":[0.0003418601,0.0001484057,0.0004873372,0.0002079747,0.00001733021,0.000157031,0.9961111,0.0001163215,0.002412633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2192242,"threshold_uncertainty_score":0.7333779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04030111962098299,"score_gpt":0.410293106224472,"score_spread":0.369991986603489,"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."}}