{"id":"W4393654146","doi":"10.5281/zenodo.4436169","title":"SLC12A4/SLC12A6; A Target Enabling Package","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval","funders":"Wellcome","keywords":"R package; Computer science; Package design; Programming language; Engineering drawing; Engineering","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":[0.0006230093,0.001903902,0.002196552,0.002578306,0.000698428,0.001995536,0.002274023,0.001552203,0.111554],"category_scores_gemma":[0.003589761,0.0005680489,0.001216583,0.005657108,0.0003133469,0.00101567,0.001448815,0.00129475,0.07544082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193308,"about_ca_system_score_gemma":0.00228819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0100109,"about_ca_topic_score_gemma":0.02107202,"domain_scores_codex":[0.9994147,0.0001102875,0.00006505435,0.0002102826,0.0001081852,0.00009151074],"domain_scores_gemma":[0.9990159,0.0003794529,0.0001338724,0.0001372131,0.0001800279,0.0001534752],"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":[0.0004434873,0.00002689995,0.002351613,0.00947917,0.0002857038,0.0001307212,0.00006682993,0.00102194,0.001307016,0.001763533,0.9746093,0.008513875],"study_design_scores_gemma":[0.0005235658,0.00003379566,0.004532048,0.001023794,0.000172073,0.0001378276,0.0000414692,0.0004695557,0.0007021901,0.001747435,0.9905855,0.00003072022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001792592,0.0002381934,0.0001007592,0.00004171982,0.00000880302,0.00001245574,0.9982749,0.0004109623,0.000732956],"genre_scores_gemma":[0.001083981,0.0003073894,0.000542447,0.0000883657,0.000003694647,0.0001040184,0.9971808,0.0001759847,0.0005133366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.111554,"threshold_uncertainty_score":0.3731852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081086352486363,"score_gpt":0.2359577115416826,"score_spread":0.215146848016819,"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."}}