{"id":"W4398287029","doi":"10.7910/dvn/fmk6sq/odbgky","title":"655548_1_S2.TIF","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Methylene blue; Staining; Degree (music); Lymph; Chemistry; Pathology; Computer science; Biomedical engineering; Medicine; Physics; Biochemistry; Acoustics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001116746,0.002266185,0.001976438,0.003580491,0.0007996092,0.002975976,0.003204428,0.002803561,0.3621791],"category_scores_gemma":[0.009045744,0.0009044799,0.001724717,0.006814092,0.0005337318,0.001588067,0.002233341,0.001689058,0.2514492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799994,"about_ca_system_score_gemma":0.002330698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02435336,"about_ca_topic_score_gemma":0.03666473,"domain_scores_codex":[0.9990934,0.0001858383,0.0001111192,0.0002710145,0.000154583,0.0001840023],"domain_scores_gemma":[0.9972294,0.001081562,0.0003069726,0.0004670637,0.0005899416,0.0003249716],"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":[0.00007059499,0.00001193653,0.000416334,0.0007872644,0.0000350044,0.00001020676,0.00001212598,0.0001844969,0.00004647929,0.0003196741,0.9967948,0.001311117],"study_design_scores_gemma":[0.0006956523,0.00003512649,0.00282889,0.000687275,0.00007709959,0.00006473494,0.00005409776,0.0003613869,0.0002817296,0.001894013,0.9929836,0.00003649576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003504809,0.00006159578,0.00002525763,0.00006661972,0.00001763451,0.000005822915,0.9990978,0.0001585801,0.0005316014],"genre_scores_gemma":[0.0004347201,0.0001108975,0.0001548542,0.0001632916,0.00001974851,0.00007730468,0.9977456,0.0001323847,0.001161214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6378209,"threshold_uncertainty_score":0.9097741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03162347394949137,"score_gpt":0.3115776175025092,"score_spread":0.2799541435530178,"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."}}