{"id":"W2797532595","doi":"10.1002/gch2.201700132","title":"Large‐Scale Transdisciplinary Collaboration for Adaptation Research: Challenges and Insights","year":2018,"lang":"en","type":"article","venue":"Global Challenges","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; McGill University; International Development Research Centre","funders":"International Development Research Centre; Department for International Development; Department for International Development, UK Government; Government of the United Kingdom","keywords":"General partnership; Adaptation (eye); Scale (ratio); Interpersonal communication; Knowledge management; Public relations; Sociology; Political science; Psychology; Computer science; Social science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006013256,0.0001263148,0.0001318018,0.00001984266,0.000376886,0.00002683779,0.00015248,0.0001251295,0.00007681578],"category_scores_gemma":[0.00008340117,0.0001180473,0.00002785859,0.0001773681,0.0004146194,0.0003513971,0.0001355055,0.00007014952,0.0000564147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002749084,"about_ca_system_score_gemma":0.00002013833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005949079,"about_ca_topic_score_gemma":0.01767567,"domain_scores_codex":[0.9985058,0.0001223064,0.0001420601,0.0004808195,0.0003558822,0.0003931724],"domain_scores_gemma":[0.999431,0.00009576255,0.0000468484,0.0002216456,0.0001031078,0.000101649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001904501,0.0001657901,0.00001782104,0.0001176917,0.000007289835,0.000002350809,0.9828904,0.00001249093,0.00007625325,0.006054322,0.0006078248,0.009857369],"study_design_scores_gemma":[0.0004741257,0.000636734,0.008619002,0.00002338327,0.000007274321,0.000002908629,0.8680722,0.0006609092,0.0001131388,0.07936782,0.04187652,0.0001459642],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539881,0.01721277,0.00003740054,0.008965212,0.0001352773,0.0005146903,0.00005464724,0.00004773074,0.01904412],"genre_scores_gemma":[0.9827018,0.0164133,0.0004430997,0.00004935835,0.000159271,0.0001279691,0.000008660325,0.000009551723,0.00008697723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1148181,"threshold_uncertainty_score":0.9863439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1251881526115579,"score_gpt":0.3545918755653124,"score_spread":0.2294037229537544,"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."}}