{"id":"W6912671100","doi":"10.5281/zenodo.6370578","title":"Antibody Characterization Report for Progranulin","year":2022,"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; Immunoprecipitation; Disease; Genomics; Amyotrophic lateral sclerosis; Gene; Genome","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":[0.0009416551,0.001756252,0.000865927,0.002241106,0.001037864,0.0009039879,0.001442935,0.0008064286,0.01869422],"category_scores_gemma":[0.002195159,0.0006204188,0.0009851031,0.001404527,0.0002601291,0.0006379198,0.0006583579,0.001804612,0.02362404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005713837,"about_ca_system_score_gemma":0.001295943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002124021,"about_ca_topic_score_gemma":0.002576816,"domain_scores_codex":[0.999103,0.0001485461,0.0001245079,0.0002144894,0.0002185144,0.0001910608],"domain_scores_gemma":[0.9983028,0.0003995349,0.0001199918,0.0003065344,0.0006505794,0.0002204924],"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":[0.0002128139,0.000130414,0.0003735022,0.0004644784,0.00005458215,0.0004750687,0.000104103,0.0001473079,0.9785208,0.0007039847,0.006725171,0.01208778],"study_design_scores_gemma":[0.00015813,0.0007690207,0.008590332,0.0001961871,0.0002416108,0.005346616,0.0001706607,0.001329441,0.4860505,0.0008738767,0.4961974,0.00007632039],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3077088,0.03906125,0.4836857,0.005491843,0.004080968,0.007609268,0.08059168,0.003054399,0.06871618],"genre_scores_gemma":[0.1961777,0.03817139,0.2389264,0.003320733,0.001487253,0.005729062,0.4296673,0.001230159,0.0852901],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01869422,"threshold_uncertainty_score":0.06253839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04346731402761918,"score_gpt":0.3016830340484242,"score_spread":0.258215720020805,"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."}}