{"id":"W3068279136","doi":"10.1016/j.cell.2020.07.026","title":"Travel Less. Make It Worthwhile.","year":2020,"lang":"en","type":"article","venue":"Cell","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Carbon footprint; Attendance; TRIPS architecture; Public relations; Pandemic; Happening; Event (particle physics); Coronavirus disease 2019 (COVID-19); Business; Marketing; Economic growth; Political science; Biology; Engineering; Greenhouse gas; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009358992,0.00004239773,0.00005859314,0.00001349239,0.0001764319,0.00006410151,0.0001397951,0.00002519398,0.001959492],"category_scores_gemma":[0.00001223171,0.00004263661,0.00003803155,0.000146777,0.00005371836,0.00003368204,0.00003314039,0.00004988518,0.0004130923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001335679,"about_ca_system_score_gemma":0.00004764348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007482366,"about_ca_topic_score_gemma":0.002050103,"domain_scores_codex":[0.9994848,0.00002602393,0.00007317311,0.0001272858,0.0001424566,0.0001463017],"domain_scores_gemma":[0.9997797,0.00001421012,0.00002152434,0.00006469339,0.00001999381,0.00009990417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002123077,0.0002242084,0.002290354,0.0001060383,0.00002994542,0.00005754248,0.1129287,0.00007647098,0.000752683,0.2045987,0.5125118,0.1664023],"study_design_scores_gemma":[0.0001183782,0.00001964548,0.001318106,0.00000504203,0.000009213956,2.143681e-8,0.02947107,0.00009576676,0.0001387088,0.0007438252,0.9679874,0.00009279053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01900466,0.00005221124,0.0009412099,0.03752936,0.0001360362,0.0001099172,0.000003323761,0.00004279491,0.9421805],"genre_scores_gemma":[0.9843999,0.0001094724,0.0001021367,0.00227116,0.0002246163,0.000005265011,0.000003694829,0.000003368464,0.01288039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9653952,"threshold_uncertainty_score":0.9989529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07617204980588267,"score_gpt":0.2764274593979817,"score_spread":0.200255409592099,"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."}}