{"id":"W4411609779","doi":"10.1002/2688-8319.70066","title":"Keys for effective multistakeholder science committees: The importance of structure, processes and desired behaviours","year":2025,"lang":"en","type":"article","venue":"Ecological Solutions and Evidence","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Calgary","funders":"Government of Canada; Government of Alberta; African Development Bank Group; U.S. Department of Justice","keywords":"Political science; Engineering ethics; Computer science; Management science; Data science; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.1621501,0.0005537568,0.0007229745,0.002270996,0.01522629,0.01639636,0.003772174,0.006855147,0.008491009],"category_scores_gemma":[0.1546584,0.0006634931,0.0007337242,0.00117107,0.01291378,0.009440819,0.017226,0.00692482,0.0020116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008572393,"about_ca_system_score_gemma":0.0388374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002765494,"about_ca_topic_score_gemma":0.004506303,"domain_scores_codex":[0.8393256,0.1134322,0.007186769,0.006027565,0.02229631,0.01173145],"domain_scores_gemma":[0.8001976,0.0834151,0.02111538,0.01424324,0.03844266,0.04258607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003134694,0.0009653682,0.05103653,0.001651399,0.0002229457,0.002497515,0.1849864,0.005904347,0.0163225,0.4325963,0.04879541,0.2547078],"study_design_scores_gemma":[0.0001356255,0.0008089249,0.02704106,0.00238818,0.00009819523,0.001098294,0.1647034,0.01096871,0.00829863,0.4174695,0.36654,0.0004495047],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3482816,0.00222132,0.2559485,0.2254543,0.002389256,0.004179537,0.0001655377,0.000696655,0.1606634],"genre_scores_gemma":[0.9420813,0.0002888531,0.04202493,0.003838936,0.0002241775,0.001117127,0.00004791001,0.00007705721,0.0102996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9847737,"threshold_uncertainty_score":0.8575419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03940587466279473,"score_gpt":0.2827995435776767,"score_spread":0.243393668914882,"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."}}