{"id":"W2801048049","doi":"10.1017/s0953820818000067","title":"Scales for Scope: A New Solution to the Scope Problem for Pro-Attitude-Based Well-Being","year":2018,"lang":"en","type":"article","venue":"Utilitas","topic":"Political Philosophy and Ethics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Scope (computer science); Subject (documents); Relevance (law); Epistemology; Psychology; Scale (ratio); Limiting; Social psychology; Affect (linguistics); Tone (literature); Wish; Well-being; Sociology; Philosophy; Computer science; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001620488,0.0001093382,0.0001294813,0.00003829126,0.001348364,0.000099635,0.0003578687,0.0001362803,0.00006042742],"category_scores_gemma":[0.001259283,0.00008223836,0.0001063951,0.0002086366,0.0005548169,0.0001381319,0.00004333413,0.0001068076,0.0001655991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026544,"about_ca_system_score_gemma":0.0005491466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085011,"about_ca_topic_score_gemma":0.006161202,"domain_scores_codex":[0.998552,0.0001061744,0.0001959447,0.0002754733,0.0002802376,0.000590192],"domain_scores_gemma":[0.9986863,0.0005783607,0.0000387435,0.0002164432,0.0002354374,0.0002446894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000156605,0.00006642211,0.00005637738,0.0001008991,0.00001775184,1.48025e-7,0.004950481,0.000009453712,0.0001128729,0.9248741,0.06107863,0.008576307],"study_design_scores_gemma":[0.0003513204,0.0002986764,0.0001280322,0.0001168778,0.00002763408,9.409959e-8,0.0002044244,0.0002678664,0.001155704,0.4227063,0.5746029,0.0001401391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005634039,0.001055775,0.1838607,0.4011849,0.001766252,0.01058967,0.0001215025,0.0004252449,0.395362],"genre_scores_gemma":[0.9756713,0.000005240558,0.01442692,0.00520396,0.002492907,0.0002721208,0.000008627871,0.0000173231,0.001901603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9700373,"threshold_uncertainty_score":0.9999517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07859569776412613,"score_gpt":0.3805006486859248,"score_spread":0.3019049509217987,"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."}}