{"id":"W4394938857","doi":"10.5267/j.ijdns.2024.2.003","title":"Analyzing the use and benefits of green communication in higher educational institutes","year":2024,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001883618,0.00002998973,0.00005145058,0.0001425901,0.00015768,0.0003596738,0.0009770376,0.00001147358,0.00002256785],"category_scores_gemma":[0.0001597396,0.00002136275,0.000009342868,0.00037555,0.0004460095,0.00212131,0.0003898413,0.00008357842,4.752082e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002590903,"about_ca_system_score_gemma":0.0001289212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003498025,"about_ca_topic_score_gemma":0.001238191,"domain_scores_codex":[0.9993371,0.00003960013,0.0001756844,0.0000872455,0.000286765,0.00007358869],"domain_scores_gemma":[0.9992856,0.0003366559,0.00008524323,0.0001035905,0.0001608753,0.00002807756],"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":[0.00001800715,0.00003714115,0.330084,0.00001155209,0.0000614186,0.000003152549,0.006430444,0.0006690811,0.00003476123,0.4627312,0.002778573,0.1971406],"study_design_scores_gemma":[0.0002769997,0.00002469587,0.8006925,0.001108697,0.00004523599,0.00001213649,0.001018284,0.01411627,0.0000106797,0.01994801,0.1626037,0.0001428059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567528,0.01444898,0.0002665174,0.02319462,0.001469793,0.00008274375,0.00001556323,0.000005326446,0.003763596],"genre_scores_gemma":[0.9952776,0.003234433,0.0008877611,0.00004146699,0.0003627714,3.5063e-7,0.000003568464,0.000001228543,0.0001908025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4706085,"threshold_uncertainty_score":0.3468343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1680922782708642,"score_gpt":0.3843534131808168,"score_spread":0.2162611349099526,"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."}}