{"id":"W6931741986","doi":"10.5281/zenodo.7671673","title":"Antibody Characterization Report for Alsin","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":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Immunoprecipitation; Genomics; Genome; Gene; Monoclonal antibody","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":[0.001228785,0.002077385,0.001055577,0.002511831,0.001501759,0.001194801,0.00160518,0.001071261,0.02638888],"category_scores_gemma":[0.002231191,0.0007670852,0.001115338,0.001969055,0.0003642841,0.0008928967,0.0007505668,0.002430334,0.03455944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007408808,"about_ca_system_score_gemma":0.001793536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002195847,"about_ca_topic_score_gemma":0.003050183,"domain_scores_codex":[0.9986281,0.0002006797,0.0002016309,0.0003365375,0.0003697456,0.0002632224],"domain_scores_gemma":[0.9978346,0.0003908405,0.0001517367,0.000385261,0.0009458967,0.0002915706],"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":[0.0003257845,0.0002556105,0.000594395,0.0005854474,0.00006906734,0.0004146227,0.0001966724,0.0002335614,0.9645312,0.001398234,0.01476245,0.01663302],"study_design_scores_gemma":[0.0001604385,0.0007708055,0.007289162,0.0001732238,0.0002040573,0.003253298,0.0001966408,0.001383813,0.4026663,0.0009144978,0.5829138,0.00007404108],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2303308,0.02563507,0.5410498,0.005376072,0.005116684,0.008093347,0.1066643,0.003268569,0.07446536],"genre_scores_gemma":[0.1378974,0.02200897,0.1765222,0.002762572,0.00135221,0.005342984,0.548791,0.001347826,0.1039749],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02638888,"threshold_uncertainty_score":0.0882796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06062106762877647,"score_gpt":0.3227579683605575,"score_spread":0.2621369007317811,"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."}}