{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003297963,0.00055818,0.0004114292,0.001367041,0.008453913,0.01314807,0.001302288,0.005346564,0.09766391],"category_scores_gemma":[0.01191645,0.0004558668,0.0004981537,0.001731466,0.01136109,0.008968392,0.005204359,0.004972063,0.03497069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008144992,"about_ca_system_score_gemma":0.004237102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006777296,"about_ca_topic_score_gemma":0.006509386,"domain_scores_codex":[0.9954172,0.001728505,0.0001915999,0.0009074718,0.001280229,0.0004749408],"domain_scores_gemma":[0.9955422,0.001553661,0.0002310166,0.0007684542,0.001412541,0.0004920694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001693092,0.00000956931,0.0001179724,0.00005277898,0.000002601319,0.0001271772,0.001279442,0.00005936518,0.00005424471,0.8252068,0.1572559,0.01581704],"study_design_scores_gemma":[0.000004059977,0.000003503098,0.0001303379,0.00005449738,0.000001602749,0.00009858155,0.0004095888,0.0000807313,0.00007847817,0.06175822,0.9373745,0.000005993863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0006394674,0.001275207,0.002562374,0.01633612,0.0009055152,0.00003214273,0.0001834616,0.0001333578,0.9779324],"genre_scores_gemma":[0.1747344,0.003652158,0.005552125,0.01274499,0.001989018,0.00030844,0.0004489993,0.000432197,0.8001376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09766391,"threshold_uncertainty_score":0.3267183,"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."}}