{"id":"W6901703599","doi":"10.60692/ke2x4-11e06","title":"Precision in a rush: Trade-offs between reproducibility and steepness of the hunchback expression pattern","year":2018,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Developmental Biology and Gene Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Dynamics (music); Expression (computer science); Reproducibility; Interphase; Transcription factor; Gene expression; Live cell imaging","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":[],"consensus_categories":[],"category_scores_codex":[0.0006166869,0.00008580247,0.0001149328,0.00004080603,0.00006232465,0.00001169026,0.0001040708,0.0001382967,0.000002479864],"category_scores_gemma":[0.00003435163,0.00005639215,0.00002872073,0.00008196536,0.000076447,0.00001728198,0.0001175453,0.00003647758,0.000007644511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001452834,"about_ca_system_score_gemma":0.00001873052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003029459,"about_ca_topic_score_gemma":0.000001317388,"domain_scores_codex":[0.9990983,0.0001034087,0.0003807055,0.0002277061,0.00009470022,0.00009515928],"domain_scores_gemma":[0.9992681,0.000002956692,0.0001799359,0.0004817441,0.0000447225,0.0000225117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005396783,0.000001527823,0.9858958,0.00007149373,0.000007845326,3.712746e-8,0.005333288,0.000002925326,0.002811219,0.000001044189,0.00002492412,0.005795967],"study_design_scores_gemma":[0.0003143412,0.00004230968,0.7479367,0.00007327033,0.00000335547,0.000004088747,0.0005719847,0.00002375158,0.250817,0.000001317034,0.0001560065,0.00005582128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978243,0.000006742885,0.001417261,0.0000343885,0.00014288,0.000273664,0.00002915327,0.000006879867,0.0002647681],"genre_scores_gemma":[0.9997571,2.289715e-7,0.00006333941,0.00003096037,0.00006656965,0.00001159196,0.00003510535,0.000003076874,0.00003202283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2480058,"threshold_uncertainty_score":0.2299605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129585117248674,"score_gpt":0.2271133391250385,"score_spread":0.2058174879525518,"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."}}