{"id":"W2008915224","doi":"10.1002/2013eo160003","title":"Interdisciplinary Climate Change Collaborations Are Essential for Early‐Career Scientists","year":2013,"lang":"en","type":"article","venue":"Eos","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta","funders":"","keywords":"Climate change; Field (mathematics); Engineering ethics; Politics; Interdisciplinarity; Sociology; Political science; Data science; Social science; Engineering; Computer science; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04272566,0.001185972,0.001980235,0.002903293,0.0179546,0.01679058,0.004875489,0.01078136,0.05038618],"category_scores_gemma":[0.07223095,0.001361009,0.001643341,0.003332394,0.005848585,0.02249093,0.05151898,0.01809801,0.02286291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004244295,"about_ca_system_score_gemma":0.02918332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178827,"about_ca_topic_score_gemma":0.003633652,"domain_scores_codex":[0.9552056,0.02330097,0.001673437,0.004297359,0.008947058,0.006575545],"domain_scores_gemma":[0.7883223,0.02670221,0.01111825,0.01806871,0.02756246,0.1282261],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004154296,0.002138835,0.01539043,0.001564993,0.0004305787,0.002175763,0.02905891,0.001421643,0.004202804,0.1231417,0.5097998,0.3102591],"study_design_scores_gemma":[0.00009582525,0.0001726319,0.005048947,0.001093413,0.00002970343,0.0004790463,0.02025515,0.0002627877,0.000406768,0.1559188,0.8161542,0.00008263947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03941135,0.02749464,0.0818326,0.6291378,0.03143964,0.002341246,0.00107824,0.002165986,0.1850985],"genre_scores_gemma":[0.4890702,0.02088559,0.1659702,0.1831989,0.01664326,0.005754246,0.002638217,0.001405382,0.1144341],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9572743,"threshold_uncertainty_score":0.2259576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03260709022094246,"score_gpt":0.2755358629442981,"score_spread":0.2429287727233556,"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."}}