{"id":"W4297942622","doi":"10.5281/zenodo.4724169","title":"Antibody Characterization Report for Moesin","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Phytochemical compounds biological activities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Moesin; Antibody; Characterization (materials science); Computational biology; Chemistry; Biology; Immunology; Biochemistry; Materials science; Cytoskeleton; Nanotechnology; Cell","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":[0.001384805,0.002220663,0.001475405,0.002534406,0.001381675,0.001040063,0.001506049,0.001073828,0.03855056],"category_scores_gemma":[0.002488864,0.001201406,0.001144369,0.001640126,0.0003885005,0.0009989528,0.0009071041,0.002921831,0.04761896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006253101,"about_ca_system_score_gemma":0.001240075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064125,"about_ca_topic_score_gemma":0.001872262,"domain_scores_codex":[0.9986826,0.0001645255,0.0001833466,0.0003619417,0.0003942162,0.0002133912],"domain_scores_gemma":[0.9980599,0.0003159127,0.0001458928,0.0003982493,0.0008728762,0.0002072433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002856166,0.0001413616,0.0002558537,0.001035414,0.00006810269,0.0002508192,0.0001439954,0.0001523691,0.9651802,0.001045414,0.01380797,0.01763281],"study_design_scores_gemma":[0.000139409,0.0005220382,0.002953126,0.0002513532,0.0002057294,0.002236837,0.00009287066,0.000989027,0.4452982,0.0006564354,0.5465744,0.00008068758],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.1228067,0.03191342,0.6536031,0.003385403,0.004063472,0.009509496,0.1060374,0.009233116,0.05944778],"genre_scores_gemma":[0.0997492,0.02450307,0.2846186,0.001994239,0.001040696,0.009237935,0.455467,0.003588418,0.1198008],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03855056,"threshold_uncertainty_score":0.1289645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02863047896414543,"score_gpt":0.2718367956361428,"score_spread":0.2432063166719974,"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."}}