{"id":"W2152698454","doi":"10.1162/leon_a_00113","title":"Technology, Nature, Software and Networks: Materializing the Post-Romantic Landscape","year":2011,"lang":"en","type":"article","venue":"Leonardo","topic":"Earth Systems and Cosmic Evolution","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Theme (computing); Romance; Relation (database); Natural (archaeology); Computer science; Range (aeronautics); Software; Selection (genetic algorithm); Data science; History; Art; World Wide Web; Literature; Engineering; Artificial intelligence; Archaeology; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.000178759,0.00009335704,0.0001025893,0.00005015889,0.0002011319,0.00003887023,0.0001560748,0.0001492328,0.0003665309],"category_scores_gemma":[0.00002822005,0.00005746852,0.0000232092,0.000139146,0.00008446778,0.00009682873,0.00001713921,0.0001755025,0.00007602972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.008795e-7,"about_ca_system_score_gemma":0.00001087323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008473046,"about_ca_topic_score_gemma":0.000984495,"domain_scores_codex":[0.999368,0.00003834386,0.0001232916,0.0001674544,0.00008985881,0.0002131112],"domain_scores_gemma":[0.9996704,0.00003138505,0.00005264004,0.0001712871,0.00003599513,0.00003833586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002010305,0.000003650164,0.9719895,0.0000145079,0.00001480623,0.00001385196,0.0001390132,0.00002386373,0.000009385509,0.0009066073,0.0005253777,0.02633937],"study_design_scores_gemma":[0.0001057878,0.00007319388,0.9929852,0.00002645696,0.00001200492,0.0001133168,0.0007922011,0.001027975,0.00001435915,0.001199082,0.003543344,0.0001070944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848108,0.01018401,0.000202556,0.0009890918,0.0009007058,0.0001792561,0.00002561578,0.000152729,0.002555224],"genre_scores_gemma":[0.9986583,0.00008869702,0.0005361235,0.0004517159,0.0001253858,0.000001431192,0.00003020927,0.000003124625,0.000105024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02623227,"threshold_uncertainty_score":0.4013256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008649506120481794,"score_gpt":0.179586274982201,"score_spread":0.1709367688617192,"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."}}