{"id":"W2889928422","doi":"10.1002/gch2.201800018","title":"Supporting Scientific Advice through a Boundary Organization","year":2018,"lang":"en","type":"review","venue":"Global Challenges","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Stakeholder engagement; Stakeholder; Public relations; Discipline; Natural resource management; Political science; Function (biology); Politics; Resource (disambiguation); Natural resource; Structuring; Knowledge management; Sociology; Computer science; Law","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001286493,0.0002645463,0.0005903356,0.00006376256,0.001743146,0.0004845561,0.0008623963,0.0004505569,0.001578731],"category_scores_gemma":[0.0005203635,0.0002559446,0.0001847034,0.001033186,0.0006692344,0.000337433,0.0002653181,0.0001874035,0.001901238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006397271,"about_ca_system_score_gemma":0.0007326229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002677417,"about_ca_topic_score_gemma":0.006601558,"domain_scores_codex":[0.9974088,0.0006405182,0.0004798494,0.0005228167,0.000480113,0.000467905],"domain_scores_gemma":[0.9981987,0.00009922993,0.000480179,0.000659322,0.0004458296,0.000116677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[6.470089e-7,0.00004543283,0.000003277175,0.002371049,0.00002388763,0.000001312262,0.01594854,8.56306e-9,1.505026e-8,0.008592137,0.009065593,0.9639481],"study_design_scores_gemma":[0.00003990317,0.00001264856,0.00000502694,0.002104913,0.0001168729,0.000005959016,0.006489403,3.314742e-7,1.432548e-8,0.001040592,0.9899312,0.000253166],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004010441,0.868112,0.000009764415,0.0008967413,0.001182884,0.0004098686,0.00008439393,0.000343205,0.1289572],"genre_scores_gemma":[0.00002012439,0.9970519,0.0002108396,0.00006492122,0.0009318142,0.00002664797,0.0006410638,0.00002876219,0.001023929],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9808656,"threshold_uncertainty_score":0.9999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5819143482867335,"score_gpt":0.5395737754777451,"score_spread":0.0423405728089884,"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."}}