{"id":"W4393551863","doi":"10.5281/zenodo.7158250","title":"ICB_Fumet1_RNAseq","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Computer 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":[0.002079745,0.002589286,0.002194451,0.00248318,0.002200627,0.003281699,0.003171347,0.002329346,0.0692698],"category_scores_gemma":[0.006092106,0.001133187,0.001701177,0.004441596,0.0005772251,0.001365378,0.001980082,0.002945152,0.1086642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001767029,"about_ca_system_score_gemma":0.003352161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01411249,"about_ca_topic_score_gemma":0.03036048,"domain_scores_codex":[0.9982779,0.0002336768,0.0001688595,0.0007587948,0.0003398116,0.0002209662],"domain_scores_gemma":[0.998391,0.0004430778,0.0001300566,0.0005011315,0.0004181869,0.0001165211],"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":[0.0003218889,0.00004582157,0.002021991,0.001788578,0.0001372144,0.00005476503,0.00006000674,0.000637813,0.002708676,0.0007114673,0.9863943,0.005117424],"study_design_scores_gemma":[0.0004525264,0.00007474972,0.007798316,0.0003622513,0.0001734613,0.0002556363,0.0001023294,0.000843645,0.004517255,0.002419901,0.982922,0.00007802068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003431273,0.0001833142,0.000394591,0.00006081462,0.00004258651,0.00003082899,0.9968459,0.001158394,0.0009403903],"genre_scores_gemma":[0.000547725,0.00005601719,0.0008667734,0.00006974038,0.000005103135,0.0001584447,0.9974248,0.0002035402,0.0006678373],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0692698,"threshold_uncertainty_score":0.2317306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04288846189415129,"score_gpt":0.2797787622590333,"score_spread":0.236890300364882,"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."}}