{"id":"W4404742906","doi":"10.1159/000541970","title":"Acknowledgement to Reviewers","year":2024,"lang":"en","type":"article","venue":"Pharmacology","topic":"Pharmacological Receptor Mechanisms and Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acknowledgement; Psychology; Medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02039997,0.002383062,0.002321732,0.006717839,0.00444722,0.01725844,0.005173345,0.006184453,0.2689258],"category_scores_gemma":[0.1999067,0.0008903561,0.001468331,0.004100183,0.002388855,0.01005015,0.007275502,0.00822693,0.1839648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006856394,"about_ca_system_score_gemma":0.0165862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003009987,"about_ca_topic_score_gemma":0.00399389,"domain_scores_codex":[0.969074,0.008638171,0.003574259,0.004464174,0.01234125,0.001908041],"domain_scores_gemma":[0.7629701,0.02219677,0.008827277,0.0108522,0.1790024,0.01615133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000193839,0.000005150835,0.00005374024,0.0001596973,0.000004303795,0.00004791353,0.0001354846,0.00001232082,0.00004025595,0.001027804,0.9874631,0.01103077],"study_design_scores_gemma":[0.000007603829,0.000006308474,0.00008883357,0.0002905087,0.000005533818,0.000112709,0.0002418817,0.00002315361,0.00004070741,0.000709356,0.9984629,0.00001057298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00044648,0.01458851,0.003706859,0.2329897,0.6737731,0.0006863517,0.002788747,0.001809286,0.06921095],"genre_scores_gemma":[0.01173062,0.02079006,0.007728609,0.1695869,0.2688256,0.002011865,0.00517967,0.003921467,0.5102252],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2689258,"threshold_uncertainty_score":0.8996463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146463734910173,"score_gpt":0.3511080311792903,"score_spread":0.336461657688273,"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."}}