{"id":"W586696613","doi":"","title":"City, country, empire : landscapes in environmental history","year":2005,"lang":"en","type":"book","venue":"","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empire; Rural area; Geography; Politics; Globe; Environmental history; Political science; Economy; Work (physics); History; Economic history; Engineering; Archaeology; Law","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":[0.0001144928,0.0005010867,0.000447779,0.00009453669,0.00006717502,0.000003658776,0.0004737045,0.0003683335,0.1115435],"category_scores_gemma":[0.000001752561,0.0004660584,0.000163855,0.00003500251,0.00234584,0.0001598503,0.0004794023,0.0005448286,0.006989189],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01274201,"about_ca_system_score_gemma":0.00007733501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002830865,"about_ca_topic_score_gemma":0.001249598,"domain_scores_codex":[0.9976051,0.00003732297,0.0003968919,0.0007664055,0.000756357,0.0004378887],"domain_scores_gemma":[0.9991624,0.00003591085,0.0002035003,0.0004036555,4.251727e-7,0.0001941235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002563912,0.0002686768,0.006670919,0.00001018349,0.00001937375,0.0001020561,0.0005186537,0.0002524038,0.0001088478,0.00006699761,0.9841948,0.0077615],"study_design_scores_gemma":[0.0002899092,0.00005746567,0.00948098,0.00002568835,0.00002146608,0.00003188239,0.00008613107,0.00004862153,0.000002527405,0.0001116249,0.9892387,0.0006050136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002726868,0.002505688,0.000006226786,0.0001227941,0.0002575972,0.0002710104,0.00004284609,0.00005736337,0.9940096],"genre_scores_gemma":[0.01015691,0.0009616698,0.0001637484,0.001795916,0.0002509148,0.00002685938,0.0002486192,0.00007711359,0.9863182],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1045543,"threshold_uncertainty_score":0.9997791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007510064261483363,"score_gpt":0.1753001099844213,"score_spread":0.167790045722938,"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."}}