{"id":"W265100577","doi":"10.1525/aft.2009.37.1.16","title":"Translocation","year":2009,"lang":"en","type":"article","venue":"Afterimage","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Information retrieval; Computer science; Afterimage; World Wide Web; Artificial intelligence; Image (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009605295,0.0006551048,0.0004222814,0.001685922,0.003204226,0.007129687,0.001194505,0.001989834,0.5142841],"category_scores_gemma":[0.003420249,0.0002968869,0.0006060517,0.001773469,0.00146659,0.003361169,0.003452606,0.00186398,0.2616294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003485941,"about_ca_system_score_gemma":0.003144216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005993076,"about_ca_topic_score_gemma":0.009079896,"domain_scores_codex":[0.9988828,0.0001368028,0.00005963679,0.0002434788,0.0005173175,0.0001599931],"domain_scores_gemma":[0.9988098,0.0001153084,0.00005721804,0.0001852412,0.0005475763,0.0002848113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009735544,0.00005277563,0.0005585902,0.0002671163,0.000007155557,0.0004391076,0.001017032,0.00004256995,0.001333989,0.03500821,0.8374544,0.1237218],"study_design_scores_gemma":[0.000002750012,0.000009837113,0.0003320705,0.00008486906,0.000001521239,0.000108809,0.000347358,0.000009559859,0.0001531288,0.001173685,0.9977739,0.000002560505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002598422,0.00360526,0.0008947877,0.012123,0.01300864,0.0001096351,0.001648949,0.0004998691,0.9655114],"genre_scores_gemma":[0.01211662,0.002768793,0.0006844227,0.001883137,0.001078453,0.0000504026,0.001510379,0.000298188,0.9796095],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5142841,"threshold_uncertainty_score":0.6928148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009319389607921,"score_gpt":0.2174316038329145,"score_spread":0.2073384099368353,"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."}}