{"id":"W2949227991","doi":"","title":"The State of the Inland Sea: a primer to the submerged cultural resources of Lake Ontario and the Upper St. Lawrence River and the state of studies in Great Lakes Shipbuilding","year":2019,"lang":"en","type":"article","venue":"Society for Historical Archaeology","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Shipbuilding; Archaeology; Primer (cosmetics); State (computer science); Oceanography; Geography; Geology","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":[0.002158262,0.00009210858,0.0003281152,0.00002862929,0.0008923679,0.00001383173,0.0004209404,0.00004643527,0.000007769631],"category_scores_gemma":[0.0004185278,0.00004021743,0.000199277,0.0002405173,0.01127556,0.00005594597,0.0002584462,0.0002381179,3.59986e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000453268,"about_ca_system_score_gemma":0.000221018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4043541,"about_ca_topic_score_gemma":0.9806632,"domain_scores_codex":[0.9985415,0.0004834901,0.0002795702,0.000172118,0.0002614718,0.0002618723],"domain_scores_gemma":[0.9979416,0.001463952,0.0002042638,0.0002000379,0.0001497426,0.00004036897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004543555,0.00001124551,0.04778665,0.00004321196,0.0001505822,2.046244e-7,0.9366654,0.00003456891,0.00001280084,0.007719113,0.005383855,0.00173797],"study_design_scores_gemma":[0.001192075,0.00007632199,0.05236474,0.00003058275,0.00007544795,0.000001204431,0.01341436,0.00002411572,0.00000490065,0.01586889,0.9168524,0.0000949141],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776703,0.007889626,0.000005150817,0.01318374,0.0003683229,0.0006965806,0.00003033051,0.000003468158,0.0001525337],"genre_scores_gemma":[0.9810343,0.003584818,0.00006440387,0.0002834024,0.00004453148,0.00005749684,6.628469e-7,0.000006582303,0.01492378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9232511,"threshold_uncertainty_score":0.9914152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864297291448425,"score_gpt":0.2485376770388918,"score_spread":0.2298947041244075,"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."}}