{"id":"W4286859436","doi":"10.5281/zenodo.5644356","title":"Antibody Characterization Report for Sigma non-opioid intracellular receptor 1","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pharmacological Receptor Mechanisms and Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Sigma; Opioid receptor; Intracellular; Receptor; Sigma receptor; Characterization (materials science); Chemistry; Opioid; Medicine; Immunology; Physics; Biochemistry; Nanotechnology; Materials science","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":[0.0006428055,0.001374877,0.0008007266,0.001439272,0.0008207913,0.0007252503,0.001264062,0.0007200468,0.01611156],"category_scores_gemma":[0.001224851,0.0006469708,0.001084534,0.001004525,0.0001953542,0.0005792635,0.0003930469,0.001406339,0.01636089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006261838,"about_ca_system_score_gemma":0.001159895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002213764,"about_ca_topic_score_gemma":0.00380792,"domain_scores_codex":[0.9992761,0.0001036265,0.0001049052,0.0001473851,0.000189037,0.000178907],"domain_scores_gemma":[0.998931,0.0002345794,0.00009330953,0.0001447021,0.0004533408,0.0001430054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001712922,0.00009585785,0.0002085502,0.0002822634,0.00003150682,0.0001837776,0.00004904638,0.00007395547,0.989631,0.0003583935,0.002859996,0.006054409],"study_design_scores_gemma":[0.0002104855,0.001210588,0.01265705,0.0001639993,0.0002633022,0.004001908,0.0001976314,0.001415694,0.6898354,0.0004568011,0.2895186,0.00006847659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4498014,0.04745496,0.3648624,0.004609452,0.003494297,0.005675695,0.06229509,0.00232473,0.05948203],"genre_scores_gemma":[0.2975556,0.05464849,0.1894916,0.003028963,0.001273751,0.004552434,0.3558584,0.001054611,0.09253599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01611156,"threshold_uncertainty_score":0.05389851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779489846877404,"score_gpt":0.2705072697449777,"score_spread":0.2527123712762037,"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."}}