{"id":"W4210579144","doi":"10.1002/lob.10476","title":"Message from the President: Takin' Care of Business and Member Collective Intelligence","year":2022,"lang":"en","type":"article","venue":"Limnology and Oceanography Bulletin","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Citation; Library science; Political science; Management; Sociology; Computer science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009329842,0.0001190446,0.0001457985,0.00002935255,0.0006786938,0.000008078463,0.0002255869,0.00004623813,0.002609661],"category_scores_gemma":[0.00001968165,0.00009721126,0.00003705332,0.0002274919,0.001322521,0.00002249318,0.001219532,0.000165958,0.00001380966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003349332,"about_ca_system_score_gemma":0.000001910311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005571564,"about_ca_topic_score_gemma":0.00007481738,"domain_scores_codex":[0.9991179,0.000137038,0.0001212786,0.0003051909,0.0001625906,0.0001560478],"domain_scores_gemma":[0.9995201,0.0002043134,0.00008257032,0.0001596866,0.000005459118,0.000027842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006371007,0.00003869414,0.9865744,0.000005921799,0.00005060909,0.000007121409,0.005880722,0.00008331522,0.0001445933,0.00004476727,0.006409301,0.0006969033],"study_design_scores_gemma":[0.0001718872,0.00009967184,0.9611235,0.000004840371,0.00005005879,0.000006145885,0.01112391,0.000002327755,0.0006407372,0.0004508923,0.02621283,0.0001132543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917817,0.003749325,0.00001401478,0.001320813,0.00007930925,0.0002058973,0.000152257,0.00001430118,0.002682411],"genre_scores_gemma":[0.9981365,0.0007926331,0.0004145953,0.0003862818,0.000007343693,0.00001741563,0.000008897773,0.000005083094,0.0002313174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0254509,"threshold_uncertainty_score":0.9983021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009434039335089359,"score_gpt":0.1878295982346515,"score_spread":0.1783955588995621,"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."}}