{"id":"W4239439198","doi":"10.1007/978-1-4939-7131-2_101291","title":"Subjectivity Detection","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Subjectivity; Philosophy; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003418525,0.001688162,0.001561971,0.002859409,0.001400783,0.004916708,0.002427432,0.002221398,0.03390093],"category_scores_gemma":[0.0145885,0.001185224,0.001463225,0.002092313,0.00298176,0.005221064,0.003375026,0.004626331,0.0206743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714182,"about_ca_system_score_gemma":0.001838981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00173649,"about_ca_topic_score_gemma":0.001500468,"domain_scores_codex":[0.9968023,0.0009222223,0.0001224646,0.0009562732,0.00102641,0.0001701728],"domain_scores_gemma":[0.9941703,0.002872035,0.0002564286,0.001474881,0.001066346,0.0001599653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006381601,0.00005340811,0.0003982776,0.0002490606,0.0000464262,0.00009271476,0.0002968653,0.003658194,0.00193683,0.5772097,0.07995008,0.3360447],"study_design_scores_gemma":[0.000009265653,0.00001942521,0.0003597424,0.0001827676,0.00003454642,0.0002995707,0.00007937318,0.03716018,0.00515466,0.8028968,0.1537609,0.00004272537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001467244,0.002283992,0.8936275,0.001978578,0.0007425066,0.0001080389,0.0005544194,0.001942403,0.09729543],"genre_scores_gemma":[0.1334363,0.00582579,0.5530892,0.002434078,0.002247224,0.0005278341,0.003519375,0.003517939,0.2954022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03390093,"threshold_uncertainty_score":0.1134099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02841685985453177,"score_gpt":0.2324892267800508,"score_spread":0.204072366925519,"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."}}