{"id":"W6889180441","doi":"10.25446/oxford.25780446.v1","title":"51269: Preparation for occupying poorly draining, muddy trenches during late Autumn.","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Erosion; Margin (machine learning); Ditch; Natural (archaeology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003021804,0.0008328898,0.0002580645,0.0007351979,0.004767637,0.001520923,0.0009664223,0.001861722,0.703459],"category_scores_gemma":[0.0005546858,0.0004455328,0.0002738595,0.0003961934,0.0004911473,0.0006524449,0.001569972,0.001370613,0.3928109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014546,"about_ca_system_score_gemma":0.003183608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1454315,"about_ca_topic_score_gemma":0.5555974,"domain_scores_codex":[0.9997472,0.00001245242,0.00000516279,0.00002735696,0.00009079669,0.0001170213],"domain_scores_gemma":[0.9994538,0.00001896361,0.0000118369,0.00002152407,0.0002009624,0.0002929232],"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":[0.00005574057,0.00003637295,0.0004367909,0.00003828053,0.000001274056,0.0001710383,0.0001173124,0.00003601821,0.0005623972,0.0008485459,0.9725725,0.02512374],"study_design_scores_gemma":[0.00000913459,0.00001905271,0.00188352,0.00003410456,0.000001131182,0.00006338286,0.0002485585,0.00003461633,0.0001249178,0.0001177564,0.9974589,0.000005057891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001640228,0.0003039075,0.0003400964,0.001530621,0.001063806,0.0002126119,0.003523726,0.0006966859,0.9906882],"genre_scores_gemma":[0.001423713,0.00006566092,0.000142116,0.0001666683,0.00003094821,0.00001550965,0.0005104442,0.0001645946,0.9974805],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.703459,"threshold_uncertainty_score":0.4229797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06364646108739246,"score_gpt":0.3761357303257015,"score_spread":0.312489269238309,"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."}}