{"id":"W4255215646","doi":"10.1515/iupac.87.0292","title":"Hemisphere, Dominant","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":[0.0007284429,0.001510435,0.001402979,0.004481615,0.000795656,0.00444775,0.001591208,0.0008368647,0.242371],"category_scores_gemma":[0.0104173,0.0005547871,0.001046914,0.009843534,0.0003801854,0.002501759,0.001817534,0.001387893,0.2731341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422228,"about_ca_system_score_gemma":0.003254939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02562433,"about_ca_topic_score_gemma":0.03511738,"domain_scores_codex":[0.9985715,0.0001819004,0.0002325103,0.0004826395,0.0003076315,0.0002238752],"domain_scores_gemma":[0.9967236,0.0008035104,0.0004204739,0.0006808251,0.001075667,0.0002959569],"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":[0.00007441013,0.000005082348,0.0008955268,0.0008215556,0.00002056142,0.00001571429,0.00002377424,0.0000623138,0.00005416979,0.0007841794,0.9920685,0.005174286],"study_design_scores_gemma":[0.00005809698,0.000005224356,0.002127889,0.0003743068,0.00001379799,0.00003598912,0.0000556682,0.00004597054,0.00008245568,0.0008749355,0.9963153,0.00001028667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007181455,0.0001174282,0.00005241088,0.00006671126,0.00003986328,0.000008896422,0.9960126,0.0002867817,0.00334361],"genre_scores_gemma":[0.0006125658,0.000271105,0.0002780875,0.00011149,0.00002434764,0.00006669246,0.9949031,0.0002477006,0.003484897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.242371,"threshold_uncertainty_score":0.8108118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009598464967186518,"score_gpt":0.362529218581185,"score_spread":0.3529307536139985,"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."}}