{"id":"W4249626432","doi":"10.1515/iupac.83.0416","title":"Microplate","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Field (mathematics); Multidisciplinary approach; Computer science; Process (computing); Data science; Management science; Sociology; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00153258,0.002043248,0.001250586,0.003416482,0.001254554,0.004130614,0.003132734,0.001704959,0.1811661],"category_scores_gemma":[0.008568103,0.0007584398,0.001664834,0.006031361,0.000457044,0.003449336,0.003042716,0.002078138,0.2978666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780699,"about_ca_system_score_gemma":0.002620652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02068731,"about_ca_topic_score_gemma":0.03264495,"domain_scores_codex":[0.9973654,0.0003848601,0.0003983705,0.0008340187,0.0006718576,0.000345428],"domain_scores_gemma":[0.9954244,0.0007040654,0.0004797595,0.001517647,0.00154366,0.0003304388],"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":[0.00006993245,0.0000168347,0.001297286,0.0003805261,0.00001645785,0.00001459333,0.00003539863,0.0001126596,0.00009274922,0.001201071,0.9918594,0.004903087],"study_design_scores_gemma":[0.00006403699,0.00001023644,0.00321725,0.0002751586,0.00001243411,0.00004995102,0.000121829,0.0001757389,0.0002497811,0.001597696,0.9942053,0.00002055595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001995944,0.00005643641,0.000215527,0.0001012582,0.00004708743,0.00002735071,0.9949473,0.00073477,0.003670733],"genre_scores_gemma":[0.0004087937,0.0000568938,0.0004328541,0.0001085921,0.00001065097,0.00008054468,0.9962156,0.00015716,0.002528856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1811661,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143576240206087,"score_gpt":0.4120072274658091,"score_spread":0.3976496034452004,"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."}}