{"id":"W4391305210","doi":"10.15173/mjc.v9i0.268","title":"Issue Contributors & Editors","year":2013,"lang":"en","type":"article","venue":"The McMaster Journal of Communication","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data science; Computer 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002583114,0.00006202912,0.0001207573,0.00007684303,0.0007382917,0.0002441085,0.001858316,0.00006725909,0.001208462],"category_scores_gemma":[0.0006609283,0.00004166909,0.00008131644,0.0002540689,0.0002486354,0.000910866,0.0001678618,0.0003303952,0.0002850502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008414558,"about_ca_system_score_gemma":0.0000867903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005843,"about_ca_topic_score_gemma":0.0001445036,"domain_scores_codex":[0.9979283,0.001109956,0.0004188117,0.0000405195,0.000360945,0.000141524],"domain_scores_gemma":[0.9972978,0.0005642889,0.0005421648,0.0007581166,0.0007626135,0.00007503681],"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":[0.00002199656,0.0002027725,0.002896566,0.000003479295,0.0001276973,9.53445e-8,0.04665611,0.0001063282,0.0003850951,0.03895525,0.7937508,0.1168938],"study_design_scores_gemma":[0.0001700244,0.00001190149,0.00493805,0.00002336256,0.0000199569,0.00000272562,0.005438343,0.0000524498,0.00001696009,0.01235675,0.9769157,0.0000537411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1567892,0.005973009,0.006035353,0.5732399,0.002451258,0.0008818493,0.00000235118,0.00007375254,0.2545534],"genre_scores_gemma":[0.9919813,0.001168335,0.001461913,0.0003044887,0.0009238828,0.00001129329,0.000003647467,0.000006772816,0.004138335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8351921,"threshold_uncertainty_score":0.9997045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378304370190857,"score_gpt":0.3132941425623116,"score_spread":0.289511098860403,"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."}}