{"id":"W6910268391","doi":"10.48512/xcv8489036","title":"Six Mile Transmission Line-EBS Cultural Resource Summary","year":2016,"lang":"en","type":"article","venue":"The Digital Archeological Record (tDAR)","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mile; Last mile (transportation); Resource (disambiguation); Quarter (Canadian coin); Baseline (sea)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007834996,0.000373401,0.0002723597,0.002932558,0.0008987178,0.0008833256,0.001168272,0.0005632833,0.1541934],"category_scores_gemma":[0.002871238,0.0002515842,0.0002012612,0.003787621,0.0001403342,0.0006022508,0.0007679087,0.0005436909,0.04588068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007908138,"about_ca_system_score_gemma":0.003928031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08430339,"about_ca_topic_score_gemma":0.1095832,"domain_scores_codex":[0.9994354,0.00007883858,0.000064776,0.00004638241,0.0002870097,0.00008751363],"domain_scores_gemma":[0.9947088,0.0004414959,0.0002303264,0.0003605129,0.003914833,0.000344068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001073716,0.00006232129,0.002262561,0.0003607562,0.000004973984,0.0002195991,0.000157142,0.0002159707,0.001177984,0.000610875,0.9501848,0.0446356],"study_design_scores_gemma":[0.00001242463,0.00003867709,0.01716905,0.00008276512,0.000002619888,0.00005291686,0.0002845454,0.00007054387,0.0002805757,0.0001051631,0.9818917,0.000008886903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.009641557,0.0008621503,0.001477375,0.002890425,0.001783773,0.00246155,0.5931101,0.0006583472,0.3871148],"genre_scores_gemma":[0.02990572,0.002200342,0.00483213,0.001559951,0.0006921234,0.002357277,0.4554085,0.0004077555,0.5026361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1541934,"threshold_uncertainty_score":0.5158281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06112592497143988,"score_gpt":0.2508010901448065,"score_spread":0.1896751651733666,"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."}}