{"id":"W2750495188","doi":"10.5281/zenodo.846318","title":"Ros-Specific Huntingtin Interactions: Ip Optimization In Patient-Derived Cells","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Huntingtin; Chemistry; Cell biology; Biology; Biochemistry; Gene","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":[0.001507163,0.002093184,0.001718808,0.001721317,0.0005100736,0.001773057,0.001838612,0.002130021,0.01041419],"category_scores_gemma":[0.003720355,0.000479305,0.001917399,0.001856653,0.0003575168,0.0006099877,0.001291529,0.001328979,0.01149649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025801,"about_ca_system_score_gemma":0.001601579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004566604,"about_ca_topic_score_gemma":0.01197728,"domain_scores_codex":[0.9991933,0.0001250311,0.00008949314,0.0003519424,0.0001402864,0.00009998412],"domain_scores_gemma":[0.9990865,0.0004056736,0.00008127272,0.0002558051,0.0001164196,0.00005444452],"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":[0.001755105,0.0002958589,0.01563974,0.004758786,0.001039606,0.0005622403,0.0001177382,0.00698431,0.008926448,0.001593007,0.9198977,0.03842944],"study_design_scores_gemma":[0.002369894,0.0003290738,0.03745019,0.0008922336,0.001265205,0.001861549,0.0002065928,0.01799427,0.02171357,0.006945598,0.908825,0.0001467149],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009566757,0.001435941,0.002405271,0.0002771285,0.0000853653,0.00007676392,0.9801772,0.004440526,0.001535116],"genre_scores_gemma":[0.007235721,0.000312428,0.00393964,0.0001594308,0.00001207449,0.0002252754,0.9871439,0.0002268542,0.0007446816],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01041419,"threshold_uncertainty_score":0.03483891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958457931297899,"score_gpt":0.2679908579158451,"score_spread":0.2484062786028661,"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."}}