{"id":"W4393629559","doi":"10.5281/zenodo.1068363","title":"Bio2Vec","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","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":[0.001664172,0.005437735,0.002187294,0.009202955,0.00173955,0.003660238,0.002426764,0.002755086,0.05814715],"category_scores_gemma":[0.007330877,0.0007988662,0.002559823,0.006719802,0.0008098612,0.002291501,0.002778881,0.002324297,0.09080604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622638,"about_ca_system_score_gemma":0.003462589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01201635,"about_ca_topic_score_gemma":0.02542437,"domain_scores_codex":[0.9972384,0.0004658229,0.0003180231,0.001120564,0.0005506083,0.0003065886],"domain_scores_gemma":[0.9979159,0.0008088331,0.0001398213,0.0004626581,0.0004713775,0.0002014381],"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":[0.0001778806,0.00006074132,0.001645847,0.001919106,0.000127149,0.0001397719,0.00004536071,0.000545581,0.000796349,0.0005551131,0.9842757,0.009711223],"study_design_scores_gemma":[0.0005709371,0.0001290706,0.01001285,0.0009154528,0.0002958711,0.001073589,0.000277131,0.004948679,0.003979456,0.00399807,0.973666,0.000132806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001372518,0.00120434,0.0007387493,0.0002684411,0.0002519295,0.00005711577,0.9886696,0.005345976,0.002091322],"genre_scores_gemma":[0.001598876,0.0002356327,0.0009939491,0.00008946382,0.0000290134,0.000145206,0.995544,0.0003815534,0.000982262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05814715,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02161729349972346,"score_gpt":0.2853365006521172,"score_spread":0.2637192071523937,"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."}}