{"id":"W6912926314","doi":"10.5281/zenodo.7971945","title":"Antibody Characterization Report for Cyclin-F","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; General partnership; Genomics; Genome; Immunogenetics; Amyotrophic lateral sclerosis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007958956,0.001433903,0.0006971493,0.001820005,0.00114762,0.0007783051,0.001261187,0.0007792795,0.01686514],"category_scores_gemma":[0.001492458,0.0005318829,0.001033484,0.001277046,0.0003032971,0.0006763061,0.0004468726,0.001370594,0.01600854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007339697,"about_ca_system_score_gemma":0.001200408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003412294,"about_ca_topic_score_gemma":0.004821187,"domain_scores_codex":[0.9993191,0.00009049748,0.00008977352,0.0001779709,0.0001840175,0.0001386076],"domain_scores_gemma":[0.9990284,0.0002139832,0.00007792736,0.0001902099,0.0003627623,0.0001267405],"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":[0.0001961155,0.0001034292,0.0003179376,0.0004397106,0.00003733436,0.0002366182,0.00007870926,0.00009484121,0.9809194,0.0007065974,0.006259452,0.01060999],"study_design_scores_gemma":[0.0001189029,0.0005237423,0.007093708,0.00009453798,0.0001241835,0.002941338,0.0001308582,0.0008249651,0.6299235,0.0004464141,0.3577222,0.00005564426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2861454,0.03981344,0.5147108,0.003842306,0.003548251,0.005471736,0.07285552,0.004260459,0.06935217],"genre_scores_gemma":[0.2504167,0.03826578,0.2484893,0.002095571,0.001169236,0.004940783,0.3631218,0.001733453,0.08976748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01686514,"threshold_uncertainty_score":0.05641949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05981746966299496,"score_gpt":0.3249820053693726,"score_spread":0.2651645357063776,"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."}}