{"id":"W6887820455","doi":"10.17632/87v7yt8mm4","title":"Western Blot validating ERM knockout in RAW264.7","year":2024,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Western blot; Knockout mouse; Blot; Northern blot; Dot blot","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":[0.001879337,0.001898952,0.002706162,0.003583676,0.001302214,0.002163116,0.001485323,0.001688074,0.05099782],"category_scores_gemma":[0.003366998,0.0007440049,0.001426339,0.005117222,0.0003783671,0.001014207,0.001119024,0.002553045,0.05435437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009016125,"about_ca_system_score_gemma":0.001570129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004507443,"about_ca_topic_score_gemma":0.01008078,"domain_scores_codex":[0.9978902,0.0001664614,0.0002598415,0.0005869438,0.0007724098,0.0003242795],"domain_scores_gemma":[0.9983261,0.0004295772,0.0001564962,0.0004080107,0.0005308988,0.0001488531],"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":[0.001224752,0.0002060492,0.003018227,0.003493117,0.0003301398,0.0002976441,0.00008541476,0.0003433778,0.08219902,0.001154404,0.8958172,0.01183062],"study_design_scores_gemma":[0.0008886027,0.0003848066,0.04397768,0.00064113,0.0005827601,0.0009830853,0.0002389961,0.001324134,0.06663106,0.002761673,0.881393,0.0001929679],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003198211,0.0007459568,0.0008873396,0.0002891011,0.0001985646,0.00005009127,0.9890636,0.001898871,0.003668274],"genre_scores_gemma":[0.003342482,0.0006337278,0.002534084,0.0002275948,0.00003780931,0.0001989154,0.9894658,0.0005134587,0.003046021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05099782,"threshold_uncertainty_score":0.1706047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1402356184401514,"score_gpt":0.3922994930527826,"score_spread":0.2520638746126311,"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."}}