{"id":"W2292160189","doi":"","title":"Deep History: Using Archaeology and Historical Ecology to Promote Marine Conservation","year":2005,"lang":"en","type":"article","venue":"Alternate routes","topic":"Historical and Cultural Archaeology Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ecology; Geography; Historical ecology; Archaeology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002115542,0.0001140349,0.0002225772,0.0000666368,0.0002963885,0.000004363108,0.0001591619,0.00008458094,0.0001632801],"category_scores_gemma":[0.0002150653,0.0001004542,0.00003413848,0.00009217036,0.0004393247,0.0001202238,0.0002428072,0.0001144121,0.00004796548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001844249,"about_ca_system_score_gemma":0.00004910016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01234485,"about_ca_topic_score_gemma":0.05479277,"domain_scores_codex":[0.9989308,0.0001226647,0.0001861381,0.0002745241,0.0001356777,0.0003502621],"domain_scores_gemma":[0.9995131,0.00008943609,0.00006934896,0.00008037267,0.00008795477,0.0001597092],"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":[0.0001582342,0.0002119129,0.570926,0.00002695903,0.0001695295,0.00008667258,0.1464545,0.00008204481,0.001969509,0.1310168,0.01257262,0.1363252],"study_design_scores_gemma":[0.0001736863,0.00009817907,0.00883114,0.000003134455,0.00001979775,0.0000108585,0.0001486667,0.0005272326,0.00001870653,0.003156265,0.9868606,0.0001517302],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9306098,0.0009880918,0.0003233402,0.06358105,0.0008157686,0.0002023007,5.427027e-7,0.00008366391,0.003395454],"genre_scores_gemma":[0.9678856,0.0003767027,0.01261581,0.003350511,0.0007805277,0.00002961852,0.000002754386,0.00001144661,0.01494707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.974288,"threshold_uncertainty_score":0.9942321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04540386726101053,"score_gpt":0.279823048866967,"score_spread":0.2344191816059564,"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."}}