{"id":"W4361188062","doi":"","title":"ReproVIP Report #1.1.1 Selected Metrics and Reproducibility Results","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Reproducibility; Computer science; Statistics; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06422745,0.004961308,0.003208035,0.008981523,0.002188851,0.007936245,0.004245268,0.003475847,0.01331648],"category_scores_gemma":[0.2096,0.001179029,0.002950876,0.00745572,0.001728878,0.004331348,0.005028261,0.003135152,0.01364675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002055345,"about_ca_system_score_gemma":0.003509935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002362226,"about_ca_topic_score_gemma":0.001076572,"domain_scores_codex":[0.8941568,0.03725101,0.01007753,0.01045342,0.04443804,0.003623243],"domain_scores_gemma":[0.7649521,0.09104484,0.01225676,0.06196046,0.06690465,0.002881241],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003777414,0.001857605,0.04088309,0.008980788,0.00218882,0.0008133903,0.00166273,0.04680325,0.03971328,0.0282832,0.38013,0.4449064],"study_design_scores_gemma":[0.0009116801,0.004101033,0.07743708,0.002844837,0.001733986,0.004717729,0.001546093,0.1369203,0.2381111,0.07039106,0.4600212,0.001263857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.1038444,0.01813173,0.6298255,0.003957154,0.004581011,0.003588791,0.1266515,0.06985,0.03956988],"genre_scores_gemma":[0.2529668,0.003913043,0.4149371,0.0009231668,0.001555062,0.008094039,0.2598337,0.04118041,0.01659669],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9357725,"threshold_uncertainty_score":0.3396713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876077676395197,"score_gpt":0.2671763923324912,"score_spread":0.2484156155685393,"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."}}