{"id":"W4241128014","doi":"10.1515/iupac.81.0618","title":"Multiple Heterosis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Ecology; Computer science; Biology; 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":[0.00230945,0.003718637,0.001959322,0.005731822,0.00202496,0.004767675,0.004718609,0.00257539,0.1182306],"category_scores_gemma":[0.0174928,0.001111031,0.004330402,0.00823449,0.000786225,0.004734627,0.004253407,0.00317519,0.1412359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001970514,"about_ca_system_score_gemma":0.004293605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0165192,"about_ca_topic_score_gemma":0.0426478,"domain_scores_codex":[0.9958449,0.0006497235,0.0006101801,0.001524737,0.0008949185,0.0004755547],"domain_scores_gemma":[0.9935052,0.002243652,0.0004381017,0.00240606,0.001099263,0.000307614],"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":[0.0001432362,0.00005048643,0.00217449,0.001203172,0.0001175941,0.00006490808,0.00003999259,0.0005704362,0.0001407231,0.001623909,0.9833475,0.01052347],"study_design_scores_gemma":[0.000312097,0.00004675407,0.003956634,0.0005321444,0.00007526697,0.0002905554,0.0001651628,0.002298795,0.0008228321,0.008512219,0.982919,0.00006853586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003808843,0.0002817423,0.0006209102,0.000159092,0.0000876386,0.00004111399,0.9938763,0.002646324,0.001905949],"genre_scores_gemma":[0.0009390769,0.000161261,0.0015432,0.00009746195,0.00001665077,0.0001393003,0.9956051,0.0003514959,0.00114657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1182306,"threshold_uncertainty_score":0.3955206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172130234497378,"score_gpt":0.3435445040638613,"score_spread":0.3318232017188876,"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."}}