{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001294298,0.002942494,0.001750244,0.004500911,0.001437431,0.002742921,0.003653974,0.003258662,0.2745571],"category_scores_gemma":[0.008893427,0.001022317,0.001853223,0.005059165,0.0006515194,0.001365587,0.002516426,0.001573912,0.2240007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176309,"about_ca_system_score_gemma":0.004094744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03894949,"about_ca_topic_score_gemma":0.07699814,"domain_scores_codex":[0.9988048,0.0001611263,0.00008618333,0.0003973612,0.000293842,0.000256693],"domain_scores_gemma":[0.9968701,0.001225304,0.0002436965,0.0005860981,0.0006935677,0.0003812813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007600365,0.0000115367,0.0006873138,0.0005048478,0.00003129227,0.00001503089,0.00002010176,0.0001903825,0.0001161621,0.0003732715,0.9962351,0.00173907],"study_design_scores_gemma":[0.0006092237,0.00003682185,0.004766449,0.0004897629,0.00009825126,0.00006954167,0.00008049254,0.0007573134,0.0007335264,0.002933687,0.9893627,0.00006232801],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009467262,0.00005623726,0.00007938669,0.00006228216,0.0000253574,0.00000887997,0.9980027,0.0007290507,0.0009414381],"genre_scores_gemma":[0.0004926288,0.00005599473,0.0004942458,0.000127888,0.00001058501,0.00008587696,0.9967901,0.0003848269,0.001557856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2745571,"threshold_uncertainty_score":0.9184849,"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."}}