{"id":"W6964398489","doi":"10.25345/c57w6798q","title":"MassIVE MSV000090656 - Optimization of substrates for hPSC cultures","year":2022,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cell culture; Process (computing); Induced pluripotent stem cell","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":[0.0002297031,0.0001719447,0.0002333155,0.00004148822,0.0002457059,0.00001668331,0.0006114511,0.0001817381,0.1159603],"category_scores_gemma":[0.000111061,0.0001502187,0.00008057884,0.0001744664,0.0002765268,0.0001191086,0.0002154278,0.0001781498,0.00006725209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000869173,"about_ca_system_score_gemma":0.00002771407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001901318,"about_ca_topic_score_gemma":0.001462856,"domain_scores_codex":[0.998808,0.00005648143,0.0002301811,0.0003805827,0.0002596248,0.0002651074],"domain_scores_gemma":[0.9992654,0.0001584404,0.0002448416,0.0002601066,0.000008308742,0.00006292325],"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":[0.00002029315,0.00006617713,0.000355399,0.0000195956,0.00001173093,0.000008361651,0.00003395119,0.03632511,0.00004475043,0.00001976063,0.9630275,0.00006736813],"study_design_scores_gemma":[0.0001993598,0.0001629347,0.001751526,0.000009033888,0.00005533631,0.000007128003,0.00008704216,0.001108996,0.000228272,0.0003420116,0.9957801,0.0002683324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001144143,0.00005544036,0.00004873968,0.00007352953,0.0003540282,0.0003436395,0.9968712,0.00001543451,0.001093861],"genre_scores_gemma":[0.0007434461,0.0001275879,0.00057379,0.0002067724,0.00003587905,0.000110502,0.9976046,0.000007819009,0.0005895849],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.115893,"threshold_uncertainty_score":0.8848479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002570389162598,"score_gpt":0.2404275781579298,"score_spread":0.2304018742663038,"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."}}