{"id":"W6964454414","doi":"10.25345/c5dv5r","title":"MassIVE MSV000087430 - Rosenthal_Zebrafish_TurboID_P88_SAINT5429_miniTurbo_transgenics_2021","year":2021,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Identification (biology); Process (computing); Work (physics); Set (abstract data type)","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0006235378,0.002031561,0.002191801,0.0008453397,0.0004011208,0.0006423861,0.002328669,0.001790073,0.05094242],"category_scores_gemma":[0.0007897302,0.002169527,0.0013684,0.001685144,0.0005053606,0.0003048548,0.0008843014,0.003082079,0.04749009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006840805,"about_ca_system_score_gemma":0.001082064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003990471,"about_ca_topic_score_gemma":0.003913799,"domain_scores_codex":[0.9907779,0.0008557771,0.001540259,0.002705293,0.002088811,0.002031952],"domain_scores_gemma":[0.9927402,0.000592101,0.0008697356,0.004304127,0.0005783225,0.0009155739],"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":[0.00009666952,0.0006062919,0.00001405033,0.0004281093,0.0009643104,0.004624606,0.00006525597,0.00003135098,0.0003899357,0.00006083817,0.9923344,0.0003841545],"study_design_scores_gemma":[0.001307254,0.0001161079,0.00007346697,0.0004978242,0.0009838506,0.0001748085,0.0002316885,0.00001483301,0.001334273,0.0002136755,0.9927724,0.002279844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001770071,0.005600117,0.000007711769,0.0001484119,0.003622866,0.0009632481,0.9856485,0.0004572489,0.003374863],"genre_scores_gemma":[0.0002384702,0.0006176682,0.0003416234,0.0009928665,0.001971566,0.0002406175,0.993104,0.0006009809,0.001892186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007455496,"threshold_uncertainty_score":0.9995058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043051747527171,"score_gpt":0.2666267695996262,"score_spread":0.2461962521243545,"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."}}