{"id":"W6931328243","doi":"10.5281/zenodo.6370611","title":"Antibody Characterization Report for Tuberin","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Immunoprecipitation; Monoclonal antibody; Mutation; Cell culture","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":[0.0006725297,0.001608838,0.000736882,0.001543918,0.0007496525,0.0006608567,0.001100198,0.0005444055,0.01701311],"category_scores_gemma":[0.0011895,0.0006814565,0.0009126515,0.001352835,0.0002294306,0.0005990303,0.0004843638,0.001336378,0.01497625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004667858,"about_ca_system_score_gemma":0.0007729558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00172001,"about_ca_topic_score_gemma":0.002494818,"domain_scores_codex":[0.9993706,0.00008309974,0.00009883578,0.0001888781,0.0001479738,0.0001105285],"domain_scores_gemma":[0.9989347,0.0002169062,0.000115312,0.0001724028,0.0004272969,0.0001335109],"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":[0.0001224545,0.00006593313,0.0001774967,0.0003253999,0.00003051892,0.00015754,0.00005622767,0.00006445649,0.9884758,0.0002795988,0.003366875,0.006877697],"study_design_scores_gemma":[0.00007795671,0.0006767628,0.007662799,0.00009062026,0.0002334291,0.003658879,0.0001152308,0.001009972,0.7644979,0.0003576541,0.2215674,0.00005140344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3198417,0.02362143,0.5513292,0.002072504,0.001940544,0.003153526,0.05313694,0.00574785,0.03915642],"genre_scores_gemma":[0.2627262,0.02278771,0.2926191,0.001877121,0.0007832926,0.003724681,0.3494676,0.001986578,0.06402764],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01701311,"threshold_uncertainty_score":0.05691451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399201256132172,"score_gpt":0.2159703167665778,"score_spread":0.2019783042052561,"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."}}