{"id":"W33226395","doi":"10.1039/d0cs00552e","title":"The candidate : a novella and examination of Australian Gothic crime fiction","year":2010,"lang":"en","type":"dissertation","venue":"Creative Industries Faculty","topic":"Crime and Detective Fiction Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Waterloo Institute for Nanotechnology, University of Waterloo; National Key Research and Development Program of China; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Novella; Literature; Context (archaeology); History; Art; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002563942,0.0002933322,0.0003438757,0.0001293783,0.001222124,0.0002353203,0.00011149,0.000321642,0.0004472391],"category_scores_gemma":[0.0002886976,0.0002034095,0.00007328803,0.00008351706,0.000668128,0.000176956,0.00002671325,0.0007168906,0.00001380754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005150764,"about_ca_system_score_gemma":0.0000915289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473811,"about_ca_topic_score_gemma":0.005579695,"domain_scores_codex":[0.9987677,0.0000800183,0.0003959336,0.000289616,0.000273169,0.0001935876],"domain_scores_gemma":[0.9982499,0.0001879655,0.0004643931,0.0001691618,0.0008827388,0.00004578803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009690109,0.0002664185,0.0008155881,0.0004554102,0.00167117,0.000005965361,0.4926865,0.000001744278,0.003268958,0.09804081,0.2282168,0.1736016],"study_design_scores_gemma":[0.0002992266,0.000165841,0.0542454,0.0001133975,0.0001887128,0.000001405948,0.16524,0.000002512586,0.01324852,0.0001731656,0.7660633,0.0002584619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.713093,0.0003314579,0.000002690395,0.0002044952,0.001123919,0.0004821859,0.0009562729,0.00006292427,0.2837431],"genre_scores_gemma":[0.7221183,0.000132459,0.000002976685,0.000009706409,0.0002831025,0.00006694337,0.0008303868,0.00002131799,0.2765348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5378465,"threshold_uncertainty_score":0.939971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0672817101725493,"score_gpt":0.3096202960071628,"score_spread":0.2423385858346135,"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."}}