{"id":"W6964005893","doi":"10.25345/c5ks0q","title":"MassIVE MSV000088183 - TurboID of MSTR-1::TurboID expresing worms (complete)","year":2021,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Identification (biology); Population; Fish <Actinopterygii>","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":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0006002679,0.001684994,0.002520747,0.001053845,0.0002925926,0.0003015027,0.002401311,0.001164155,0.01619288],"category_scores_gemma":[0.001010049,0.001657848,0.0009390142,0.001449926,0.000753849,0.0003973972,0.001532637,0.002034273,0.008120972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006126464,"about_ca_system_score_gemma":0.0006931163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000770264,"about_ca_topic_score_gemma":0.001379096,"domain_scores_codex":[0.9918173,0.0006269807,0.001847196,0.002060713,0.001963895,0.001683932],"domain_scores_gemma":[0.992062,0.0006024294,0.001863877,0.004355686,0.000544383,0.0005715688],"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":[0.0001745869,0.0003895587,0.00004619227,0.0007432353,0.0005637318,0.0008891616,0.0001320841,0.00005602758,0.01193811,0.00002361582,0.9847291,0.0003145667],"study_design_scores_gemma":[0.001196001,0.0001412057,0.0003821722,0.0016091,0.0005447337,0.00007643144,0.0003823672,0.00001809286,0.00644525,0.0002425194,0.9872555,0.001706632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001845787,0.003875542,0.00001174463,0.0000389414,0.001481818,0.000880606,0.9899176,0.0002562328,0.001691713],"genre_scores_gemma":[0.001555952,0.0001880816,0.001002091,0.0002601011,0.001318608,0.00010567,0.9945651,0.0004847086,0.00051972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00807191,"threshold_uncertainty_score":0.9995897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03199274011566912,"score_gpt":0.2709583738486415,"score_spread":0.2389656337329724,"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."}}