{"id":"W6931799674","doi":"10.5281/zenodo.6566856","title":"Antibody Characterization Report for Syndecan-4","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Immunoprecipitation; Characterization (materials science); Cell culture; Monoclonal antibody","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":[0.001072873,0.001984031,0.0009040551,0.00332543,0.001736608,0.0009728938,0.001804628,0.0009868479,0.02961615],"category_scores_gemma":[0.002047613,0.000978757,0.001278901,0.001932216,0.0002874526,0.0007347816,0.0008116869,0.002396603,0.02369162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009097514,"about_ca_system_score_gemma":0.001526716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002846839,"about_ca_topic_score_gemma":0.004799192,"domain_scores_codex":[0.9986379,0.0001689324,0.0002108108,0.0003377465,0.0003736096,0.0002710124],"domain_scores_gemma":[0.9982418,0.0003112564,0.0001112526,0.0002940017,0.0008339817,0.0002077548],"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":[0.0003136156,0.0002750623,0.0006183634,0.0005833369,0.00008806406,0.0003389418,0.0001636198,0.0001957106,0.9697808,0.001457849,0.01242243,0.01376221],"study_design_scores_gemma":[0.0002534138,0.0007675927,0.01084621,0.0002357992,0.0003198498,0.00384149,0.0002342852,0.002466054,0.4580708,0.0009549475,0.5219088,0.0001006809],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3275149,0.02995341,0.4414868,0.005147142,0.004055543,0.009411558,0.09834488,0.003516813,0.08056889],"genre_scores_gemma":[0.1780023,0.03471773,0.2116214,0.003272917,0.001377772,0.01025808,0.4525865,0.001217594,0.1069457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02961615,"threshold_uncertainty_score":0.09907585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09695870538935634,"score_gpt":0.2364914697851397,"score_spread":0.1395327643957834,"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."}}