{"id":"W6950327416","doi":"10.5284/1065031","title":"I. Brampton, Hunts.","year":2008,"lang":"en","type":"article","venue":"Archaeology Data Service","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0003004455,0.0001376517,0.0001659507,0.0001142662,0.0001481376,0.00001443584,0.007119082,0.00009634554,0.00004710417],"category_scores_gemma":[0.00009279224,0.0001386041,0.0000149309,0.0005803458,0.0002429892,0.001489551,0.005491128,0.0002019253,0.0006748014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000186717,"about_ca_system_score_gemma":0.0001150544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002948851,"about_ca_topic_score_gemma":0.0001888875,"domain_scores_codex":[0.9983498,0.0001066231,0.0002477925,0.0007465272,0.0002018062,0.0003474844],"domain_scores_gemma":[0.9947242,0.0001394781,0.0001016986,0.004816988,0.0001250641,0.00009260871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003538366,0.0004160689,0.05338738,0.00009605053,0.00012348,0.0004144669,0.008357023,0.00001462394,0.009851575,0.6601727,0.2093896,0.05774169],"study_design_scores_gemma":[0.0006610663,0.00009578532,0.09685756,0.0000187764,0.00001036085,0.00132916,0.00003534351,0.06165035,0.009424979,0.0269865,0.8022468,0.000683294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0105567,0.0001050458,0.9695311,0.01683448,0.0002504156,0.0001859574,0.0001540537,0.001054508,0.001327805],"genre_scores_gemma":[0.4007884,0.0002873417,0.5778489,0.01895159,0.00009950058,0.00003950331,0.001727155,0.00002007113,0.0002375735],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6331862,"threshold_uncertainty_score":0.9982529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09391917020195592,"score_gpt":0.294574791624155,"score_spread":0.200655621422199,"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."}}