{"id":"W4390444499","doi":"10.1021/acs.jcim.3c01579","title":"Deciphering the Molecular Association of Human CRIP1a with an Agonist-Bound Cannabinoid Receptor 1","year":2023,"lang":"en","type":"article","venue":"Journal of Chemical Information and Modeling","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cannabinoid receptor; Cannabinoid; Agonist; Receptor; G protein-coupled receptor; Cannabinoid receptor type 2; Drug discovery; Signal transduction; Biology; Chemistry; Cell biology; Neuroscience; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006742867,0.00006556801,0.0001691716,0.0001056717,0.00006576612,0.00006171998,0.00006884254,0.00006245491,0.00001554348],"category_scores_gemma":[0.0001391088,0.00004102948,0.00005850312,0.0001840233,0.00003189149,0.0003849981,0.00002395081,0.0002480423,0.000001241324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001036076,"about_ca_system_score_gemma":0.000142392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000272609,"about_ca_topic_score_gemma":0.00000174911,"domain_scores_codex":[0.9988624,0.00001722172,0.0004367579,0.00004153299,0.000502279,0.0001398116],"domain_scores_gemma":[0.9989069,0.000007192935,0.0002542098,0.0000843856,0.000629451,0.0001178674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000776305,0.00008980972,0.0009784657,0.0003821322,0.0001923248,0.000008785109,0.005144124,0.009553429,0.9575092,0.0007575684,0.0125915,0.01201632],"study_design_scores_gemma":[0.007954748,0.002250856,0.001244955,0.0007393279,0.0003569357,0.0003315941,0.01072108,0.4813379,0.4646384,0.0009866958,0.02893529,0.0005021315],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943091,0.0000539727,0.001030375,0.004187601,0.00003155621,0.00009138265,0.000002306678,0.00001024691,0.0002834192],"genre_scores_gemma":[0.999217,0.00004889825,0.0002416933,0.000247748,0.00007201489,0.000003697175,0.00001645965,0.000006747121,0.0001457069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4928708,"threshold_uncertainty_score":0.1673134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221768256567797,"score_gpt":0.3088894070696372,"score_spread":0.2867125814128575,"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."}}