{"id":"W6907785339","doi":"10.25345/c52j8p","title":"MassIVE MSV000087425 - Rosenthal_Zebrafish_TurboID_P88_SAINT5425_TurboID_injections_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":[0.0005865321,0.001890111,0.001967448,0.001287872,0.0006539816,0.0007818542,0.001964047,0.0016035,0.06459249],"category_scores_gemma":[0.001587288,0.00200289,0.001206698,0.002620254,0.0005343508,0.0004281372,0.001372481,0.003013939,0.05774397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278488,"about_ca_system_score_gemma":0.001069055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001079065,"about_ca_topic_score_gemma":0.004018529,"domain_scores_codex":[0.9912704,0.0009224024,0.001471345,0.0026399,0.001851569,0.001844415],"domain_scores_gemma":[0.9924198,0.0004806671,0.001039298,0.004559394,0.0007559484,0.0007448916],"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":[0.00006546142,0.0006356855,0.00002501552,0.0002655292,0.0007240172,0.002190914,0.00003505623,0.00007829516,0.0002004091,0.00005360952,0.9953846,0.0003413718],"study_design_scores_gemma":[0.0009462278,0.0001356743,0.0001488195,0.0004450184,0.0006914932,0.0003443887,0.0003304397,0.00002416145,0.0007632798,0.0001660882,0.9939409,0.002063534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001248801,0.00391547,0.000007294524,0.000143337,0.005681687,0.0009280485,0.9821222,0.0006179118,0.006459134],"genre_scores_gemma":[0.00009195502,0.0004019274,0.0003178403,0.001035559,0.002834025,0.0003568145,0.9896107,0.0005003181,0.004850898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007488424,"threshold_uncertainty_score":0.9996926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535658738025771,"score_gpt":0.2654303879680515,"score_spread":0.2500738005877938,"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."}}