{"id":"W4412308930","doi":"","title":"Science popularization goes global:UNESCO’s Division of Science & Its Popularization","year":2017,"lang":"en","type":"article","venue":"","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Division (mathematics); Library science; Political science; Media studies; Humanities; Sociology; Philosophy; Computer science; Mathematics; Arithmetic","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00919783,0.001092738,0.0005417108,0.005242225,0.004095856,0.01301462,0.001671012,0.006835797,0.01877806],"category_scores_gemma":[0.03689502,0.0005778053,0.0004548955,0.01027814,0.003973085,0.0138068,0.004608911,0.006667125,0.001584975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01104914,"about_ca_system_score_gemma":0.0189666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1250457,"about_ca_topic_score_gemma":0.143037,"domain_scores_codex":[0.9920835,0.001410608,0.0006264877,0.0006289845,0.004278274,0.0009722107],"domain_scores_gemma":[0.9715534,0.007260717,0.002706584,0.001861882,0.01509602,0.001521437],"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":[0.0001504382,0.0001393616,0.003979739,0.0003583084,0.00002203504,0.0001622165,0.00259265,0.0002561071,0.0008484629,0.1515786,0.7289557,0.1109563],"study_design_scores_gemma":[0.00001018043,0.00001310637,0.008417951,0.0003083499,0.000009583197,0.00002997614,0.001459896,0.0001934266,0.0009257217,0.007160094,0.9814374,0.00003440946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01165596,0.02644594,0.001206959,0.6612101,0.01661962,0.0001379643,0.005931504,0.0002149055,0.2765771],"genre_scores_gemma":[0.3266147,0.03077099,0.005638309,0.07606804,0.01549989,0.0005707441,0.00530672,0.0009489346,0.5385817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9869854,"threshold_uncertainty_score":0.2486356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5489986274955367,"score_gpt":0.5423398650556309,"score_spread":0.006658762439905819,"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."}}