{"id":"W7035954542","doi":"","title":"AI & Agency","year":2019,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Medicinal Plant Extracts Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Subject (documents); Set (abstract data type); Action (physics); Work (physics); Period (music); Context (archaeology); Structure and agency","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002706998,0.0004494985,0.0006227958,0.000294813,0.00007381132,0.0005017624,0.0003640777,0.0002838986,0.009206655],"category_scores_gemma":[0.0006959843,0.0003684626,0.0002717467,0.0005515165,0.00008845406,0.002874219,0.0001839207,0.001098997,0.1286045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005223186,"about_ca_system_score_gemma":0.0002485743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003094992,"about_ca_topic_score_gemma":8.977142e-7,"domain_scores_codex":[0.9971318,0.00007909105,0.000568598,0.000663067,0.0008232981,0.0007340917],"domain_scores_gemma":[0.9976929,0.0003215328,0.0001497728,0.000935385,0.00005828053,0.0008421568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001284783,0.0007643015,0.8053163,0.001047398,0.0002131864,0.0005523418,0.00007419098,0.000004006207,0.01546495,0.001599797,0.1562877,0.01739099],"study_design_scores_gemma":[0.001639346,0.0002225853,0.0336474,0.0005022808,0.00006828014,0.0004048014,0.000006360622,0.00002000537,0.001774656,0.002585315,0.9586551,0.0004739306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8457072,0.0003943075,0.0001372691,0.003019217,0.0003989565,0.0008903565,0.000740575,0.0005867966,0.1481253],"genre_scores_gemma":[0.9460095,0.00002543978,0.00106002,0.009374682,0.0004559276,0.00001942916,0.002910249,0.0001470151,0.0399977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8023673,"threshold_uncertainty_score":0.9998767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814892175213679,"score_gpt":0.2525966457095501,"score_spread":0.2344477239574133,"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."}}