{"id":"W4416613601","doi":"10.5256/f1000research.146471.r184169","title":"Referee report. For: The identification of high-performing antibodies for Coiled-coil-helix-coiled-coil-helix domain containing protein 10 (CHCHD10) for use in Western Blot, immunoprecipitation and immunofluorescence [version 1; peer review: 1 approved, 1 approved with reservations]","year":2023,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Genentech; Government of Canada; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Mitacs; Ontario Genomics; Genome Canada; Bayer; Motor Neurone Disease Association; Pfizer; Bristol-Myers Squibb","keywords":"Immunoprecipitation; Immunofluorescence; Antibody; Identification (biology); Domain (mathematical analysis); HEK 293 cells","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00485284,0.0008116146,0.001164551,0.00284779,0.002855869,0.002384868,0.002370419,0.004312879,0.488511],"category_scores_gemma":[0.05316596,0.0004364288,0.0008868246,0.002174586,0.0006513617,0.001927063,0.00224936,0.00316535,0.3074249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003136404,"about_ca_system_score_gemma":0.004503608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02495134,"about_ca_topic_score_gemma":0.03550722,"domain_scores_codex":[0.9963982,0.0004908015,0.0004061109,0.0004650976,0.001976051,0.0002636852],"domain_scores_gemma":[0.9484672,0.006538228,0.0007554273,0.002632323,0.03995391,0.00165298],"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":[0.00001065739,0.00001051291,0.00004496044,0.00003743774,0.000001867827,0.00004269413,0.00001698673,0.000007091097,0.0001404677,0.0003092422,0.994962,0.0044161],"study_design_scores_gemma":[0.00001373132,0.00001175648,0.0007211983,0.00006370597,0.000006809913,0.0001242572,0.00008849357,0.00005560732,0.0002966908,0.0008637872,0.9977347,0.0000192352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00139605,0.00395664,0.008602777,0.302011,0.4012859,0.002108024,0.04114611,0.005437027,0.2340564],"genre_scores_gemma":[0.006529461,0.002438013,0.005535542,0.04885941,0.03130386,0.0008947502,0.01219368,0.001613258,0.8906321],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.488511,"threshold_uncertainty_score":0.7295769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08556049456937136,"score_gpt":0.3896617367678882,"score_spread":0.3041012421985168,"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."}}