{"id":"W7022133977","doi":"","title":"Sculpture","year":2021,"lang":"en","type":"article","venue":"UND Scholarly Commons (University of North Dakota)","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liquation; Paraphernalia; Subpoena; Work (physics); TSG101; Circumstantial evidence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001507383,0.0001054724,0.0001874251,0.0001269542,0.0003303376,0.0001842585,0.001339679,0.00007365439,0.00006430745],"category_scores_gemma":[0.00004753782,0.0001369321,0.0001208303,0.0006740003,0.00005803753,0.002185879,0.0008032583,0.0003769922,0.00006921944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004572902,"about_ca_system_score_gemma":0.0001836077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001352579,"about_ca_topic_score_gemma":0.002259224,"domain_scores_codex":[0.9988824,0.0001097844,0.0001070063,0.000362469,0.0003249118,0.0002134525],"domain_scores_gemma":[0.9984171,0.00005780049,0.0000819132,0.00100184,0.0003036784,0.0001376997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002359138,0.000515112,0.5994134,0.00009601178,0.000380674,0.001637356,0.004916198,0.001690379,0.0008313654,0.2185121,0.005755553,0.1662283],"study_design_scores_gemma":[0.001054846,0.00006657802,0.8572968,0.00005932206,0.0000682539,0.00005059743,0.0003469926,0.02012274,0.0001616171,0.00256654,0.1177247,0.0004809709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5441067,0.0003949993,0.4434786,0.002626829,0.0001816268,0.00006077712,0.00001108056,0.0001150327,0.009024403],"genre_scores_gemma":[0.9140226,0.00002535882,0.08399476,0.0001720756,0.00002195312,6.863447e-8,0.00001111907,0.000005341351,0.001746744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3699159,"threshold_uncertainty_score":0.5583928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289001890041631,"score_gpt":0.2095424055041998,"score_spread":0.1866523866037835,"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."}}