{"id":"W7101234670","doi":"","title":"Southampton French Quarter 1382 Specialist Report Download E7: Insects","year":2015,"lang":"en","type":"article","venue":"","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Granary; Assemblage (archaeology); Fauna; Quarter (Canadian coin); Download; Manure","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":[0.0002291429,0.0003841123,0.0002288147,0.001756622,0.00102814,0.0008252799,0.0003841692,0.0004242987,0.5849954],"category_scores_gemma":[0.0006466216,0.0002658083,0.0001275919,0.001678844,0.0003381306,0.0005087107,0.001114095,0.0002201271,0.09512505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009811424,"about_ca_system_score_gemma":0.0008299841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0473378,"about_ca_topic_score_gemma":0.2164893,"domain_scores_codex":[0.9998001,0.00002149687,0.00001593822,0.00004957759,0.00007958294,0.00003322162],"domain_scores_gemma":[0.9993205,0.0001653606,0.00006200124,0.00007340751,0.0002643529,0.0001145038],"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":[0.0002117411,0.0000644945,0.02746238,0.001347884,0.00001682417,0.001780569,0.004028664,0.00005910834,0.009469993,0.0007947271,0.7171947,0.237569],"study_design_scores_gemma":[0.000008642116,0.0000730461,0.1433866,0.0003171872,0.000002875835,0.0004672606,0.001612335,0.00002938915,0.0008402757,0.00006285615,0.8531897,0.000009776256],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08964502,0.003405007,0.0004794509,0.002280076,0.000244627,0.000597654,0.06606884,0.0005749183,0.8367044],"genre_scores_gemma":[0.06357982,0.002296362,0.000716778,0.0004341758,0.00007161049,0.0002044555,0.01301562,0.0001734913,0.9195077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5849954,"threshold_uncertainty_score":0.5919536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08564425680913325,"score_gpt":0.2572945716384581,"score_spread":0.1716503148293249,"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."}}