{"id":"W2909463622","doi":"10.4095/216197","title":"Figure 53. Thickness maps of the M/S Assemblage","year":2004,"lang":"en","type":"report","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Assemblage (archaeology); Geology; Mathematics; Geography; Geometry; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001452098,0.0008453118,0.0003733319,0.002778731,0.0008505301,0.0009924808,0.0004189444,0.0005967828,0.09053438],"category_scores_gemma":[0.000980203,0.0004989514,0.0003809869,0.001668469,0.0004387742,0.0007388291,0.0006893395,0.0007266084,0.007396328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007125248,"about_ca_system_score_gemma":0.0005716112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02403137,"about_ca_topic_score_gemma":0.0197528,"domain_scores_codex":[0.9997832,0.00001082293,0.00000530945,0.00003694928,0.0001080232,0.00005567061],"domain_scores_gemma":[0.999624,0.00007354958,0.00003467857,0.00004130671,0.0001770101,0.0000494734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003112507,0.0004245293,0.04483423,0.0008089694,0.0001856303,0.002188187,0.002884328,0.1911939,0.1236786,0.04572494,0.149926,0.4350382],"study_design_scores_gemma":[0.0002881003,0.0004306695,0.399134,0.0004158428,0.0002115742,0.001771809,0.004953982,0.2398098,0.07934657,0.01611904,0.257174,0.0003446375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4320955,0.0004770647,0.09458659,0.001177532,0.0005250751,0.0003648923,0.03325999,0.01216139,0.4253521],"genre_scores_gemma":[0.87515,0.0003742952,0.05419811,0.00008246195,0.00005562547,0.0001561671,0.009493241,0.00158075,0.0589093],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09053438,"threshold_uncertainty_score":0.3028677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04309197364259377,"score_gpt":0.298845811115932,"score_spread":0.2557538374733382,"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."}}