{"id":"W4242710417","doi":"10.1515/iupac.81.0022","title":"Acclimation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","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; Philosophy; Linguistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001215673,0.000209624,0.0001959237,0.00001415203,0.0000402675,0.00001853014,0.0002855205,0.0002163019,0.03172133],"category_scores_gemma":[0.0001684126,0.0001638883,0.00007307398,0.00008501132,0.00007871189,0.00007489774,0.0002136908,0.0002271685,0.00002036889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004666065,"about_ca_system_score_gemma":0.00002351512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000255373,"about_ca_topic_score_gemma":0.00003175723,"domain_scores_codex":[0.9987096,0.000006909927,0.0002017729,0.0002877665,0.0005585765,0.0002354079],"domain_scores_gemma":[0.9993774,0.00003017618,0.00007982439,0.0003901449,0.00001264776,0.0001097536],"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":[0.00001156554,0.00003938182,0.000004495344,0.00004193046,0.000008280102,0.000007897987,0.000001728572,0.00002437845,0.002855779,3.200964e-7,0.9956936,0.001310662],"study_design_scores_gemma":[0.0002029196,0.00001301096,0.00001125447,0.0000848042,0.00002092047,0.000006038649,0.000001762007,0.00001771861,0.002145371,0.0000551313,0.9972129,0.000228194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004461659,0.00003406516,0.0001330996,0.0001514303,0.0001425177,0.00006032317,0.9984726,0.00004531308,0.0005144742],"genre_scores_gemma":[0.00009933851,0.0001358814,0.00003989582,0.00007827565,0.0003009831,0.000005975028,0.9989224,0.00001404171,0.0004032238],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03170097,"threshold_uncertainty_score":0.9691638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006282293772679685,"score_gpt":0.3339618945206811,"score_spread":0.3276796007480014,"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."}}