{"id":"W3209141514","doi":"10.1038/s41592-021-01291-4","title":"MISpheroID: a knowledgebase and transparency tool for minimum information in spheroid identity","year":2021,"lang":"en","type":"article","venue":"Nature Methods","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Cancer Institute; National Institute on Aging; Kom op tegen Kanker; Canadian Institutes of Health Research; Stand Up To Cancer; Syöpäjärjestöt; Vlaamse regering; Universiteit Gent; Bundesministerium für Bildung und Forschung; ZonMw; Brain Tumour Charity; National Institutes of Health; Cancer Research UK","keywords":"Spheroid; Transparency (behavior); Crowdsourcing; Computer science; Interrogation; Computational biology; Biological system; Biochemical engineering; Biology; Engineering; Cell culture; Geography; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02172923,0.003062224,0.003323102,0.02979806,0.003473979,0.01157694,0.007066381,0.006046424,0.02671568],"category_scores_gemma":[0.1122677,0.002837566,0.003323609,0.01774977,0.001854604,0.01224551,0.01661917,0.004315749,0.02159382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003360733,"about_ca_system_score_gemma":0.0158316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009377123,"about_ca_topic_score_gemma":0.01400554,"domain_scores_codex":[0.9854394,0.003097349,0.004348783,0.002055339,0.004562656,0.0004964993],"domain_scores_gemma":[0.9220095,0.04494493,0.006353537,0.01513939,0.009265974,0.002286608],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001232246,0.0005675522,0.005498946,0.02667914,0.0007730047,0.00239833,0.005244682,0.0110832,0.01125696,0.07225978,0.5522544,0.3107517],"study_design_scores_gemma":[0.0002107569,0.00008279794,0.001455934,0.00512488,0.0003055717,0.0005897415,0.0008614259,0.008401721,0.006828483,0.05158964,0.9243362,0.0002128138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.005075543,0.005490163,0.4059953,0.004571154,0.0008455471,0.002974518,0.4395144,0.1094602,0.02607317],"genre_scores_gemma":[0.01493512,0.005106458,0.459077,0.001429752,0.0001623377,0.00348756,0.5023006,0.00929635,0.004204806],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9782708,"threshold_uncertainty_score":0.1149165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627184094607337,"score_gpt":0.378525836789286,"score_spread":0.3622539958432126,"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."}}