{"id":"W7128480987","doi":"10.64903/1480-6800-27.1.47","title":"Digital Content Analysis of Corporate Social Response to Turkey and Syria Earthquakes","year":2024,"lang":"","type":"article","venue":"Arab world geographer","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Content analysis; Social media; Qualitative analysis; Action (physics); Qualitative research; Middle East","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008882242,0.0001938468,0.0001491481,0.005044464,0.0009240906,0.001611241,0.0002411192,0.000363714,0.002346491],"category_scores_gemma":[0.004802074,0.00006423747,0.0001314603,0.004376797,0.000808849,0.001160522,0.0009977425,0.0002921835,0.0004045912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234797,"about_ca_system_score_gemma":0.0007100246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002600328,"about_ca_topic_score_gemma":0.003543495,"domain_scores_codex":[0.9992588,0.0002780565,0.00005651963,0.00007298179,0.0002110884,0.0001226215],"domain_scores_gemma":[0.9961761,0.001875936,0.0007022538,0.0001840932,0.0008929863,0.0001685012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000612396,0.0003162196,0.3378147,0.00179967,0.0001059945,0.003241605,0.3407235,0.001164634,0.01233482,0.01111375,0.01525773,0.2755149],"study_design_scores_gemma":[0.00001111822,0.0001499489,0.5342975,0.0003509323,0.00005945728,0.0005619398,0.4063088,0.001907829,0.003565505,0.001303253,0.05143914,0.00004464869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989953,0.0001707901,0.0005120468,0.000288856,0.00003915598,0.00009833604,0.001074067,0.00001876549,0.007845015],"genre_scores_gemma":[0.9952691,0.0002828333,0.0009549608,0.00009379604,0.00005228249,0.0001679972,0.001063587,0.00001549446,0.002099949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005044464,"threshold_uncertainty_score":0.008959115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04874214557369517,"score_gpt":0.3037220364625863,"score_spread":0.2549798908888911,"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."}}