{"id":"W4318658836","doi":"10.1386/eme.9.3.137_1","title":"The Robert K. Logan Effect Extending Media Ecology and the Toronto School","year":2010,"lang":"en","type":"article","venue":"Explorations in Media Ecology","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Media ecology; Ecology; Media studies; Sociology; Art history; Art; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002896133,0.0001253474,0.0002408273,0.00005155133,0.0005465731,0.0001453846,0.0004229199,0.0002160687,0.0003136117],"category_scores_gemma":[0.01377734,0.00007559006,0.00005039917,0.000178138,0.001707053,0.0004496615,0.0001149887,0.0004131336,0.00009449117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001216584,"about_ca_system_score_gemma":0.0002618675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000452758,"about_ca_topic_score_gemma":0.7294798,"domain_scores_codex":[0.9981669,0.0006405548,0.0002799147,0.0002384876,0.000194176,0.0004800239],"domain_scores_gemma":[0.9911199,0.008278165,0.00009432479,0.0002609988,0.00006292517,0.0001837398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000126495,0.0001013059,0.04335009,0.000005678751,0.00004388423,0.00002458177,0.06907162,0.000008194297,0.0001582292,0.7113136,0.007493674,0.1683027],"study_design_scores_gemma":[0.002793278,0.0001755236,0.1386112,0.00001030905,0.00004663891,0.00001163052,0.03859398,0.0001638694,0.00004263964,0.03338362,0.7858594,0.0003078716],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8378177,0.0009750528,0.00002118291,0.02852911,0.01443235,0.001330472,0.000006614005,0.0001021994,0.1167853],"genre_scores_gemma":[0.9941843,0.001951338,0.0002244766,0.0005263907,0.001019547,0.0005661118,0.00001155689,0.00001324864,0.00150304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7783657,"threshold_uncertainty_score":0.99453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009938037857657768,"score_gpt":0.2906401780640076,"score_spread":0.2807021402063498,"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."}}