{"id":"W4412308930","doi":"","title":"Science popularization goes global:UNESCO’s Division of Science &amp; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002349035,0.00008975235,0.0001206076,0.0002297898,0.005990026,0.000639427,0.001802212,0.0000734719,0.0004112027],"category_scores_gemma":[0.002586582,0.00008423336,0.00003857301,0.001254065,0.003659223,0.002271425,0.0004562954,0.00005845004,0.00008658807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910632,"about_ca_system_score_gemma":0.000460638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003579471,"about_ca_topic_score_gemma":0.007350933,"domain_scores_codex":[0.9980017,0.00008161127,0.0002501784,0.0003090873,0.001045186,0.0003122501],"domain_scores_gemma":[0.9977224,0.00001863569,0.0003344069,0.0009023758,0.0008672541,0.00015486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000009122713,0.0001420754,0.159156,0.0000208845,0.000002187273,1.454312e-7,0.01085884,0.00001741178,0.08479157,0.7108079,0.0001045695,0.03408936],"study_design_scores_gemma":[0.0004177127,0.0000572599,0.9619443,0.0001418896,0.00001880351,9.630155e-7,0.005351664,0.001631276,0.002848046,0.009075472,0.01809515,0.0004175053],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8014354,0.00005481831,0.004193346,0.003110968,0.0008269006,0.0003507383,0.00001422722,0.0001088592,0.1899048],"genre_scores_gemma":[0.9966844,0.0006487516,0.001148707,0.00007709573,0.0000564613,0.000003637326,0.00002243939,0.000004662222,0.001353816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8027883,"threshold_uncertainty_score":0.9990522,"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."}}