{"id":"W4398317542","doi":"10.7910/dvn/fmk6sq/9rqx3l","title":"90.tif","year":2020,"lang":"pl","type":"dataset","venue":"Harvard Dataverse","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Methylene blue; Degree (music); Staining; Lymph; Pathology; Computer science; Chemistry; Medicine; Physics; Acoustics; Biochemistry","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":[],"category_scores_codex":[0.001808255,0.00303363,0.002270427,0.004556654,0.0009660053,0.005824699,0.003902493,0.002752963,0.4941656],"category_scores_gemma":[0.01164667,0.001110433,0.002152167,0.007761898,0.0006945139,0.002569915,0.003137585,0.002243165,0.5971369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583673,"about_ca_system_score_gemma":0.002257437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01488831,"about_ca_topic_score_gemma":0.02122512,"domain_scores_codex":[0.998751,0.0002795081,0.0001323255,0.0004055805,0.0001992837,0.0002322874],"domain_scores_gemma":[0.9970555,0.0009402594,0.0002325592,0.0008179733,0.0005277495,0.0004258533],"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":[0.00003165237,0.000006658683,0.0001277475,0.000353453,0.00001536333,0.000004299013,0.000007283524,0.0000538196,0.00002316545,0.0001475969,0.9982785,0.0009504808],"study_design_scores_gemma":[0.0005663866,0.00002893977,0.001368785,0.0004516849,0.00003133872,0.00003493111,0.00004304688,0.0002493974,0.0001521297,0.001469202,0.9955781,0.00002609897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002942164,0.00006285789,0.00002801028,0.00008242483,0.0000376009,0.000007325421,0.998041,0.0006829854,0.001028492],"genre_scores_gemma":[0.000278993,0.00008979321,0.0001459326,0.000144081,0.00002262022,0.00006729403,0.9974624,0.0004008785,0.001387999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5058345,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03321483387199307,"score_gpt":0.2868901224340579,"score_spread":0.2536752885620648,"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."}}