{"id":"W4255379567","doi":"10.1515/iupac.83.0449","title":"Robot","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Field (mathematics); Computer science; Process (computing); Multidisciplinary approach; Data science; Component (thermodynamics); Management science; Engineering; Sociology; Linguistics; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001290287,0.002517808,0.001358764,0.002251252,0.001013336,0.002832052,0.003485239,0.001678055,0.1063039],"category_scores_gemma":[0.005564613,0.0006656119,0.001643243,0.003079671,0.0005535811,0.002616033,0.00238839,0.002202544,0.230126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370407,"about_ca_system_score_gemma":0.001914319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01285558,"about_ca_topic_score_gemma":0.02661117,"domain_scores_codex":[0.9982318,0.0002676596,0.0001948989,0.00067564,0.0004093046,0.0002206774],"domain_scores_gemma":[0.997893,0.0003529162,0.0001655294,0.0008635668,0.0005266684,0.000198348],"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":[0.0001156283,0.00003046808,0.001023637,0.0004325622,0.00001959079,0.00002169858,0.00002438785,0.0003016458,0.0001207903,0.0009364025,0.9904768,0.006496389],"study_design_scores_gemma":[0.0001457701,0.0000259533,0.002518582,0.0002321805,0.00001835036,0.0001141724,0.00008771376,0.0009281548,0.0004972874,0.002558227,0.9928463,0.00002728835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004485205,0.0001917143,0.0006109508,0.0001560614,0.00008694245,0.00005830186,0.9914002,0.003040657,0.004006765],"genre_scores_gemma":[0.0006202806,0.00008533513,0.0008896276,0.0001144603,0.000009012475,0.0001018627,0.9964859,0.0001774638,0.001516014],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1063039,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597237363220501,"score_gpt":0.3977724554675606,"score_spread":0.3818000818353556,"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."}}