{"id":"W3177122581","doi":"10.1145/3450741.3465266","title":"Stories Incarnate","year":2021,"lang":"en","type":"article","venue":"Creativity and Cognition","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Ontario Ministry of Research and Innovation; Canada Foundation for Innovation","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001230902,0.0007740234,0.0002525007,0.001143459,0.00228557,0.005620484,0.001259803,0.001132664,0.07576938],"category_scores_gemma":[0.004781967,0.0002136155,0.0004609922,0.0006360539,0.002520373,0.005711664,0.007486847,0.001629745,0.01595998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006473276,"about_ca_system_score_gemma":0.0005975947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003783675,"about_ca_topic_score_gemma":0.001446551,"domain_scores_codex":[0.9985418,0.0006226582,0.00005648614,0.0001851175,0.0004248971,0.0001689043],"domain_scores_gemma":[0.9978841,0.0008421116,0.0001610748,0.0004456954,0.0001952033,0.0004718212],"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":[0.0002553782,0.0001719031,0.001607888,0.001168325,0.00004469889,0.001456925,0.05173692,0.0008223741,0.007009776,0.3940062,0.1550925,0.3866271],"study_design_scores_gemma":[0.000007811979,0.00004253346,0.0003893893,0.0001227997,0.000007811496,0.0004395849,0.003469798,0.0001736745,0.001176534,0.01201006,0.9821506,0.000009380986],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02864379,0.003542024,0.05378236,0.005418998,0.001929117,0.0002832771,0.000865479,0.001889884,0.903645],"genre_scores_gemma":[0.3427426,0.004032905,0.06041746,0.001938716,0.001110385,0.0004971844,0.001697212,0.001557022,0.5860065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07576938,"threshold_uncertainty_score":0.2534738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03585523123020324,"score_gpt":0.2966299046801972,"score_spread":0.260774673449994,"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."}}