{"id":"W7098129720","doi":"","title":"INTERSTORY: A STUDY OF READER PARTICIPATION AND NETWORKED NARRATIVE IN MEDIA CONVERGENCE","year":2013,"lang":"en","type":"article","venue":"","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; Portuguese; Inclusion (mineral); Convergence (economics); Electronic media; Commons","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005736267,0.0004157491,0.0005363763,0.003537777,0.007426358,0.0115868,0.001645828,0.001704655,0.01113886],"category_scores_gemma":[0.02525961,0.0003306706,0.0002790566,0.004476607,0.008344984,0.01204336,0.009385574,0.002421065,0.000786828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003348265,"about_ca_system_score_gemma":0.003282941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005165015,"about_ca_topic_score_gemma":0.009614795,"domain_scores_codex":[0.994457,0.004082305,0.0001640898,0.0003859629,0.0005781736,0.000332429],"domain_scores_gemma":[0.9828978,0.01340534,0.001085793,0.0009205565,0.0008823969,0.0008080705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003679822,0.00006484858,0.003676152,0.0001005507,0.000006305113,0.0002114724,0.9612213,0.000025188,0.0003095911,0.0223448,0.0007207326,0.0112822],"study_design_scores_gemma":[0.00001046983,0.0000550995,0.006495491,0.000223867,0.00001416713,0.0002063438,0.9623804,0.0001860002,0.0004720543,0.004685115,0.02525961,0.00001140554],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8171904,0.0009481494,0.003280341,0.00170493,0.0000822856,0.000105832,0.000111774,0.00006315504,0.1765131],"genre_scores_gemma":[0.9881915,0.0004580812,0.0007501803,0.0001422554,0.00003927336,0.0001739715,0.0000759671,0.00005740797,0.01011142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0115868,"threshold_uncertainty_score":0.03726321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04858793417304497,"score_gpt":0.266331990876353,"score_spread":0.217744056703308,"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."}}