{"id":"W1965752667","doi":"10.1068/a4175","title":"Barriers to Research Collaboration across Disciplines: Scientific Paradigms and Institutional Practices","year":2009,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development","funders":"Economic and Social Research Council","keywords":"Scope (computer science); Discipline; Context (archaeology); Obstacle; Engineering ethics; Government (linguistics); Political science; Knowledge management; Sustainability; Sociology; Public relations; Computer science; Engineering; Social science","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","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4150114,0.0006271056,0.001618601,0.01296389,0.0194399,0.04687713,0.01006939,0.0118273,0.004225359],"category_scores_gemma":[0.463051,0.001767403,0.001626235,0.01529052,0.06836661,0.03227699,0.04550704,0.01214274,0.000718053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0260917,"about_ca_system_score_gemma":0.0673001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004924012,"about_ca_topic_score_gemma":0.003872419,"domain_scores_codex":[0.4765829,0.3721316,0.04818751,0.0267908,0.06332684,0.01298038],"domain_scores_gemma":[0.2604936,0.5942194,0.05226447,0.03703252,0.03731231,0.01867769],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001211608,0.0002030332,0.01634282,0.001624272,0.0001682188,0.0007779595,0.2248627,0.0010754,0.0009632374,0.6845621,0.003643811,0.0656554],"study_design_scores_gemma":[0.0001736164,0.0001714444,0.006935222,0.002742227,0.00006716477,0.0007704288,0.202942,0.001480392,0.0007793662,0.6983514,0.08542097,0.0001659298],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3385453,0.01775412,0.1412996,0.3562076,0.001650417,0.001399252,0.0001798259,0.0003132807,0.1426506],"genre_scores_gemma":[0.965519,0.002337705,0.02206824,0.006276738,0.0003442657,0.001135884,0.00006088069,0.00008198629,0.002175276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9805601,"threshold_uncertainty_score":0.7213951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04241719327016103,"score_gpt":0.3468004868210837,"score_spread":0.3043832935509226,"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."}}