{"id":"W2774598685","doi":"10.17742/image.ma.8.3.10","title":"Assembling the (Non)Human: The Animal as Medium","year":2017,"lang":"en","type":"article","venue":"Imaginations Journal of Cross-Cultural Image Studies","topic":"Media, Communication, and Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Human animal; Computer science; Biology; Livestock; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.002755661,0.0001258249,0.000194883,0.00005618741,0.01287514,0.005364544,0.001702463,0.00003558537,0.00005266548],"category_scores_gemma":[0.0123053,0.00006363391,0.0001458576,0.0001444803,0.009312649,0.008589179,0.000174014,0.0003884647,0.00003264867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001429727,"about_ca_system_score_gemma":0.0003108703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005297051,"about_ca_topic_score_gemma":0.0006403811,"domain_scores_codex":[0.9983592,0.0002378989,0.0004246285,0.0001067981,0.0006146113,0.0002568309],"domain_scores_gemma":[0.9868383,0.0005075192,0.0008869999,0.0004769526,0.01121465,0.00007556302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004714787,0.0002694412,0.03650243,0.00004386491,0.0007173676,0.00001733474,0.5883585,0.00001307981,0.01233576,0.239897,0.1096305,0.01216753],"study_design_scores_gemma":[0.0008405059,0.0001096046,0.418668,0.0001500456,0.0002486046,0.00007044717,0.2356921,0.00002004268,0.001913977,0.07872065,0.2632383,0.0003277979],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5814466,0.00390132,0.00005446638,0.2609035,0.001918086,0.0002423524,0.000002876933,0.00002084105,0.1515099],"genre_scores_gemma":[0.991855,0.00275929,0.0005617918,0.0002288236,0.001689512,0.0000162177,0.000001471533,0.000007603218,0.002880342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4104083,"threshold_uncertainty_score":0.9960145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117885674967893,"score_gpt":0.5582080264284328,"score_spread":0.4403223514605398,"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."}}