{"id":"W4210497493","doi":"10.3389/fncel.2022.807549","title":"Knock-In Mouse Models to Investigate the Functions of Opioid Receptors in vivo","year":2022,"lang":"en","type":"review","venue":"Frontiers in Cellular Neuroscience","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Nociceptin receptor; G protein-coupled receptor; Receptor; Neuroscience; NOP; Interactome; Biology; Cell biology; Heterologous expression; Computational biology; In vivo; Opioid; Opioid peptide; Gene; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000866835,0.001402294,0.001150168,0.0015781,0.0003872948,0.0008880041,0.001143323,0.001640397,0.008378646],"category_scores_gemma":[0.0004454332,0.0004498408,0.0008749948,0.00059095,0.0006296937,0.0009378144,0.0005910548,0.002654841,0.003123398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004121073,"about_ca_system_score_gemma":0.0004808078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000480819,"about_ca_topic_score_gemma":0.001088314,"domain_scores_codex":[0.9993906,0.00008572134,0.0000947383,0.0001461855,0.0002035042,0.00007922267],"domain_scores_gemma":[0.9996183,0.00009015506,0.0001207202,0.00004533393,0.00006095864,0.0000644247],"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":[0.0004902802,0.0002819922,0.001102065,0.002470483,0.0002112306,0.001316064,0.0001492293,0.0004231251,0.9314491,0.008155402,0.009342352,0.04460878],"study_design_scores_gemma":[0.0004040724,0.002108336,0.008139397,0.001668379,0.001293777,0.01277948,0.0003064963,0.002785322,0.5194783,0.00538099,0.4455191,0.0001363974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.3022471,0.2091232,0.3726376,0.006060224,0.004912869,0.002542403,0.04269991,0.01082962,0.04894714],"genre_scores_gemma":[0.4120728,0.2521183,0.1937628,0.006189054,0.0007538481,0.006860047,0.04370555,0.002184374,0.08235321],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008378646,"threshold_uncertainty_score":0.02802938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012947296285832,"score_gpt":0.2797290652238967,"score_spread":0.1784343355953135,"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."}}