{"id":"W4320732434","doi":"10.1080/00358533.2023.2165311","title":"COP27: key takeaways and why they are relevant","year":2023,"lang":"en","type":"article","venue":"The Round Table","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Key (lock); Political science; Computer science; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.001144892,0.00009842011,0.0002085459,0.00009968956,0.0002765168,0.00004508431,0.0001533278,0.00004403135,0.0001497088],"category_scores_gemma":[0.0003856186,0.00005252503,0.00002824281,0.0005414032,0.0002098407,0.00008708623,0.00009816208,0.0002142074,0.0002981277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000366755,"about_ca_system_score_gemma":0.0001124539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007291928,"about_ca_topic_score_gemma":0.0001580845,"domain_scores_codex":[0.998661,0.00003895018,0.0001295676,0.0002194658,0.0005081043,0.0004429398],"domain_scores_gemma":[0.9990816,0.0002024232,0.00003881639,0.0003905783,0.00008563628,0.0002009957],"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":[0.0005751723,0.0002640521,0.07272045,0.0005341846,0.0001962386,0.0008207761,0.01123191,0.00005233072,0.0370403,0.01068003,0.8514667,0.01441785],"study_design_scores_gemma":[0.003542699,0.0006810109,0.1140799,0.0004719534,0.0001484384,0.0003771459,0.011881,0.00342249,0.002395793,0.007580173,0.8551528,0.0002666135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421919,0.001505478,0.00005677098,0.01677275,0.0002492334,0.0004498871,0.000008666037,0.0001686637,0.03859666],"genre_scores_gemma":[0.9465455,0.001368826,0.00004604055,0.001955365,0.0003434019,0.00002264607,0.00001089341,0.00001745131,0.04968982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04135947,"threshold_uncertainty_score":0.3831928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05836096080276407,"score_gpt":0.3178954399936986,"score_spread":0.2595344791909345,"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."}}