{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00341119,0.0003651309,0.0002520127,0.003864249,0.002390447,0.004913897,0.0009548799,0.001135846,0.005533798],"category_scores_gemma":[0.01023232,0.0003495434,0.0001121279,0.003134572,0.006885782,0.01039002,0.004698024,0.001468511,0.0002627381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00191355,"about_ca_system_score_gemma":0.003538404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00633232,"about_ca_topic_score_gemma":0.04243867,"domain_scores_codex":[0.9991242,0.0006128691,0.00002854017,0.00006499887,0.0001112638,0.00005804199],"domain_scores_gemma":[0.9957776,0.002218686,0.0005982807,0.0005833073,0.0002787249,0.0005433572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008592427,0.0001960788,0.05118069,0.000692452,0.00004103542,0.0002284781,0.07623588,0.0004956583,0.001701921,0.1343659,0.01237927,0.7223967],"study_design_scores_gemma":[0.00005330016,0.0002999671,0.0824184,0.002051243,0.0001145449,0.0006299444,0.1599756,0.002117547,0.001585561,0.4045095,0.3461646,0.00007980604],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5859718,0.02694651,0.07778298,0.0501919,0.001505195,0.0002894737,0.0004665845,0.0003735562,0.2564721],"genre_scores_gemma":[0.9408782,0.008371671,0.04007547,0.001502119,0.0001636176,0.000128999,0.00008212653,0.00008568491,0.0087121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00633232,"threshold_uncertainty_score":0.01851237,"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."}}