{"id":"W3210732479","doi":"10.6084/m9.figshare.7704659.v1","title":"Introduction to single-cell RNA-seq technologies","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; History; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001564406,0.001443896,0.001262427,0.002033111,0.001374558,0.001979567,0.002426984,0.001289181,0.2739877],"category_scores_gemma":[0.002266753,0.002338613,0.001099845,0.001526048,0.0005083903,0.001221718,0.001381246,0.00385408,0.2503359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009358819,"about_ca_system_score_gemma":0.001037163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001318119,"about_ca_topic_score_gemma":0.004804718,"domain_scores_codex":[0.9990019,0.0001224916,0.00007967638,0.0002663258,0.0004270816,0.000102577],"domain_scores_gemma":[0.998928,0.0003788076,0.00004768143,0.0002139197,0.0002570691,0.0001744717],"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":[0.0002193514,0.00009834346,0.0002691602,0.001610926,0.0000444104,0.0001912609,0.0001122435,0.0008045615,0.1024058,0.005571037,0.7879244,0.1007484],"study_design_scores_gemma":[0.0000377789,0.00008514541,0.0008151038,0.0001512503,0.00001078931,0.0003057712,0.0000248434,0.0005577378,0.01407612,0.004770507,0.9791126,0.00005244326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004824717,0.02690179,0.4412913,0.00963417,0.01705399,0.004600636,0.2184543,0.06891869,0.2083205],"genre_scores_gemma":[0.01521414,0.02126684,0.4337597,0.01013325,0.004777181,0.01238792,0.1922399,0.01590059,0.2943205],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2739877,"threshold_uncertainty_score":0.9165802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558263517048419,"score_gpt":0.2090190395722986,"score_spread":0.1934364044018144,"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."}}