{"id":"W6968110937","doi":"10.5281/zenodo.12802665","title":"khanlab/hippunfold: v1.5.1","year":2024,"lang":"en","type":"other","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":"Western University","funders":"","keywords":"Dependency (UML); Product (mathematics); Context (archaeology); Frame (networking)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002844631,0.0002341237,0.0001885104,0.0003449131,0.0002639692,0.000479683,0.0009377703,0.0002564655,0.02509804],"category_scores_gemma":[0.0001902465,0.0002460958,0.0001319853,0.0003086305,0.0001362827,0.000004451297,0.001505894,0.0002498752,0.02600254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004183361,"about_ca_system_score_gemma":0.000004007228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002561794,"about_ca_topic_score_gemma":0.000001785482,"domain_scores_codex":[0.9984546,0.0001492403,0.0001939031,0.0006651896,0.0002445349,0.0002925821],"domain_scores_gemma":[0.9987508,0.000001996818,0.0001058293,0.0008516032,0.0001725946,0.000117198],"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":[0.000009401655,0.00003971741,1.154272e-7,0.00009374404,0.0001476646,0.00001692253,0.00003487825,3.902783e-7,0.02132153,0.0001611633,0.9574014,0.02077305],"study_design_scores_gemma":[0.0001127701,0.0001343057,0.000001234436,0.00006613554,0.00005756893,0.00005247565,0.00003348355,0.0000115121,0.005487908,0.00006318547,0.9937191,0.0002603003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000360927,0.001733707,0.002361646,0.0001189056,0.00005697865,0.0003031115,0.0001671196,0.001026328,0.9941961],"genre_scores_gemma":[0.005880922,0.001358803,0.0005070682,0.0002210078,0.0008430916,6.667074e-8,0.008626332,0.01487346,0.9676892],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0363177,"threshold_uncertainty_score":0.9999991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150925483222457,"score_gpt":0.2582762283660986,"score_spread":0.2431836800438529,"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."}}