{"id":"W4313303997","doi":"10.32920/ifmj.v2i4.1682","title":"Un/interactive Fish in Posthuman Ethical Design","year":2022,"lang":"en","type":"article","venue":"Interactive Film and Media Journal","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Posthuman; Fish <Actinopterygii>; Posthumanism; Embodied cognition; Computer science; Human–computer interaction; Psychology; Artificial intelligence; Fishery","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":[0.01432007,0.0008002148,0.0002769082,0.0008883245,0.004800614,0.005523764,0.001906978,0.001951278,0.01304576],"category_scores_gemma":[0.01246399,0.0005078229,0.0006725538,0.0004802828,0.03306272,0.008860038,0.009008322,0.002820459,0.001024951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003699468,"about_ca_system_score_gemma":0.00412013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001097761,"about_ca_topic_score_gemma":0.001354334,"domain_scores_codex":[0.9817513,0.01573436,0.0003154119,0.0007984012,0.0009437776,0.0004568311],"domain_scores_gemma":[0.9912,0.005766475,0.0004590503,0.001440565,0.000528714,0.0006051232],"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":[0.00004645559,0.00006449179,0.0005658009,0.0001671584,0.000009924878,0.0001226253,0.03911313,0.001669896,0.001086295,0.9360836,0.001640434,0.01943019],"study_design_scores_gemma":[0.00007229683,0.000237867,0.0005227859,0.0002594851,0.000023291,0.0003375166,0.0247446,0.007116762,0.002935836,0.6990591,0.2646492,0.00004135622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07527494,0.0009268788,0.6514505,0.01356244,0.000395506,0.0006139859,0.00006316893,0.0005423416,0.2571702],"genre_scores_gemma":[0.8439504,0.0003987632,0.1311667,0.001227776,0.00005180529,0.0009610734,0.00004576355,0.0002508307,0.02194689],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01432007,"threshold_uncertainty_score":0.07573271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240401720869599,"score_gpt":0.2876176244832506,"score_spread":0.2652136072745546,"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."}}