{"id":"W4244269820","doi":"10.1515/iupac.83.0342","title":"Cell Viability","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Multidisciplinary approach; Field (mathematics); Computer science; Process (computing); Data science; Management science; Engineering; Sociology; Biology; Linguistics; Mathematics; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006194332,0.00048343,0.000593758,0.0001146307,0.0001301871,0.00005268141,0.0005935995,0.0002835239,0.005940546],"category_scores_gemma":[0.0007861066,0.0003499981,0.0002120007,0.0001055437,0.0002148473,0.00008817004,0.0003157146,0.0005645948,0.0000263649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003190016,"about_ca_system_score_gemma":0.0003742539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001768448,"about_ca_topic_score_gemma":0.00004523058,"domain_scores_codex":[0.9973488,0.0001828091,0.0004757862,0.0007201015,0.0008134645,0.000459083],"domain_scores_gemma":[0.9978779,0.0003094161,0.0003256784,0.0009618179,0.0003540058,0.0001711621],"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":[0.000438392,0.0003256596,0.00003486163,0.0002415122,0.00003989211,0.000251196,0.00001041803,1.138257e-7,0.00008389427,0.000002670302,0.9971012,0.001470183],"study_design_scores_gemma":[0.0005564501,0.001341968,0.0001495466,0.0003033595,0.000058823,0.00003491456,0.00001803195,0.000003989875,0.00002663009,0.0002790141,0.9967661,0.0004611354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004297092,0.0004058088,0.00008963817,0.0001473088,0.0005926107,0.0002311779,0.9935225,0.0001842496,0.0005296718],"genre_scores_gemma":[0.001487067,0.0001556161,0.00013468,0.0001290296,0.001413704,0.00001251496,0.9955583,0.00005039259,0.001058645],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005914181,"threshold_uncertainty_score":0.9998952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0793549657682295,"score_gpt":0.487427180140114,"score_spread":0.4080722143718846,"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."}}