{"id":"W4245639106","doi":"10.1515/iupac.83.0398","title":"in Vivo","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Field (mathematics); Process (computing); Multidisciplinary approach; Computer science; Data science; Component (thermodynamics); Management science; Engineering; Sociology; Biology; Linguistics; Mathematics","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":[0.001755073,0.002143036,0.001964137,0.002101152,0.001167162,0.003731183,0.00221603,0.002131887,0.1016084],"category_scores_gemma":[0.006776812,0.0007011534,0.002070203,0.003692483,0.0006898492,0.002314838,0.002091814,0.002760975,0.1115765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623986,"about_ca_system_score_gemma":0.002169238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01132594,"about_ca_topic_score_gemma":0.01891865,"domain_scores_codex":[0.9976321,0.0003294992,0.0002813865,0.0009055993,0.0005498637,0.0003014263],"domain_scores_gemma":[0.9963968,0.0007237953,0.0004711493,0.001323319,0.0008171235,0.000267777],"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":[0.001243918,0.0002004073,0.007988212,0.001859437,0.0001738511,0.0001113412,0.00008040989,0.0006568073,0.001871115,0.00340701,0.9623044,0.02010314],"study_design_scores_gemma":[0.0003017456,0.0001360291,0.01175111,0.0005242116,0.0001349612,0.0004219411,0.0001316681,0.0004222245,0.002154418,0.00429046,0.9796706,0.000060627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001780775,0.0009412247,0.0009047699,0.0002728718,0.0002184443,0.00008697088,0.9864084,0.0008945527,0.008492053],"genre_scores_gemma":[0.003231565,0.000603972,0.001044155,0.0004762858,0.00004460625,0.0002450134,0.9885975,0.0001967831,0.005560113],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1016084,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439929197589664,"score_gpt":0.4184332551955647,"score_spread":0.4040339632196681,"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."}}