{"id":"W4280502764","doi":"10.1111/puar.13518","title":"Choose your collaborators wisely: Addressing interdependent tasks through collaboration in responding to wildfire disasters","year":2022,"lang":"en","type":"article","venue":"Public Administration Review","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Brock University","funders":"Australian Research Council; Centrum för naturkatastrofslära, Uppsala Universitet; Vetenskapsrådet; Svenska Forskningsrådet Formas; Myndigheten för Samhällsskydd och Beredskap; Canada Research Chairs","keywords":"Interdependence; Salient; Collective action; Collaborative governance; Disaster response; Computer science; Emergency management; Knowledge management; Corporate governance; Collaborative network; Action (physics); Public relations; Process management; Business; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002409053,0.0001599739,0.0002541322,0.000315771,0.0008756861,0.0005646906,0.0005493334,0.00003454628,0.0005807356],"category_scores_gemma":[0.0007322681,0.0001689464,0.00005494422,0.005114376,0.00009123101,0.001167831,0.000206925,0.0001751159,0.00004453499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004803179,"about_ca_system_score_gemma":0.0007512759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003634879,"about_ca_topic_score_gemma":0.00104625,"domain_scores_codex":[0.996637,0.001214465,0.0005569796,0.0004276462,0.0007758499,0.0003880137],"domain_scores_gemma":[0.9991167,0.0000598667,0.0002755145,0.0002705934,0.0001009703,0.0001763231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002940962,0.00142926,0.01940076,0.001757587,0.0001086038,0.0002044639,0.1211781,0.0001277709,0.000189996,0.3733456,0.1590384,0.3229253],"study_design_scores_gemma":[0.0001950271,0.00008509024,0.0006265899,0.0004927281,0.00001760754,0.000001450421,0.04028454,0.00001612669,0.00000562266,0.0001963781,0.957857,0.000221826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2479583,0.02877635,0.002107061,0.432681,0.003626975,0.009470388,0.0001205807,0.0005116552,0.2747477],"genre_scores_gemma":[0.9899167,0.001820627,0.0003307598,0.004090551,0.0001050804,0.0004286863,0.00006922815,0.00001682506,0.003221554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7988186,"threshold_uncertainty_score":0.6889433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0654747369558845,"score_gpt":0.4093824319151759,"score_spread":0.3439076949592914,"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."}}