{"id":"W2806043095","doi":"","title":"Pushing the Boundaries: Technology-Driven Exploration of Thunder Bay National Marine Sanctuary","year":2018,"lang":"en","type":"article","venue":"Society for Historical Archaeology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Thunder; Bay; Archaeology; Oceanography; Geography; Geology; Meteorology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003254604,0.000117085,0.0001975995,0.00001822465,0.0005925127,0.000005139006,0.0003465164,0.000119509,0.0005261973],"category_scores_gemma":[0.0002406712,0.00008757382,0.0002011537,0.0003283645,0.003219229,0.0001489296,0.001162311,0.0001606833,0.00004505348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009487465,"about_ca_system_score_gemma":0.00004192328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007647142,"about_ca_topic_score_gemma":0.004092704,"domain_scores_codex":[0.9989059,0.00002566323,0.0002566302,0.0002765301,0.0002719729,0.0002633332],"domain_scores_gemma":[0.9994363,0.0001430937,0.0001344748,0.0001778398,0.00007631232,0.00003203422],"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":[0.0003581214,0.0004280918,0.2225194,0.00016408,0.0005003095,0.000001819304,0.02827735,0.0001110215,0.001639102,0.312187,0.3588852,0.07492848],"study_design_scores_gemma":[0.000231676,0.00043221,0.009337728,0.000003054582,0.00002109282,0.00000347285,0.0002394166,0.0006045709,0.00005718266,0.1424802,0.8464808,0.0001086008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.387925,0.002665197,0.2776063,0.2397991,0.004935936,0.004306029,0.00006725927,0.0006683164,0.08202688],"genre_scores_gemma":[0.9740157,0.0001347032,0.02294296,0.001464415,0.0002683372,0.0001594533,0.00001017739,0.00001699278,0.0009873312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5860906,"threshold_uncertainty_score":0.9994934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03069677403721267,"score_gpt":0.2575606399991478,"score_spread":0.2268638659619351,"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."}}