{"id":"W4251449964","doi":"10.1515/iupac.81.0568","title":"Mean Generation Time","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Computer science; Ecology; Biology; Data mining; 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":[0.001702017,0.001946253,0.00130098,0.003170622,0.0008649048,0.003388783,0.002785862,0.001650711,0.07103304],"category_scores_gemma":[0.01727106,0.0005079115,0.002440756,0.004677449,0.0003741252,0.002427246,0.001299454,0.00226211,0.07772686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813067,"about_ca_system_score_gemma":0.00194575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01317892,"about_ca_topic_score_gemma":0.02181969,"domain_scores_codex":[0.998138,0.0002755834,0.0002193736,0.0007995073,0.0003502505,0.0002172717],"domain_scores_gemma":[0.9949222,0.002153407,0.0003254499,0.001513529,0.0008656774,0.0002197107],"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":[0.000327275,0.00007278151,0.007853705,0.0008350328,0.0001376258,0.0000508698,0.0000459015,0.005024749,0.0001820863,0.002773342,0.9586002,0.0240963],"study_design_scores_gemma":[0.0007009325,0.0001497942,0.01796667,0.0005466348,0.0001884765,0.0005489538,0.0001930589,0.02207154,0.001422681,0.02363014,0.9324473,0.0001338737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001786652,0.0005393097,0.001098573,0.0002789945,0.0001873068,0.00004541642,0.9918329,0.001521746,0.002709118],"genre_scores_gemma":[0.006244066,0.0003296461,0.002141786,0.0001483573,0.00005417457,0.0001758193,0.9879167,0.000243821,0.002745717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07103304,"threshold_uncertainty_score":0.2376292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547155006844542,"score_gpt":0.3712112359834107,"score_spread":0.3557396859149653,"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."}}