{"id":"W6886036096","doi":"10.14288/1.0355187","title":"Great Divide","year":2017,"lang":"en","type":"other","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Lantern; Assemblage (archaeology); Feature (linguistics); Field (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009874634,0.0004813986,0.000199039,0.002115967,0.00601727,0.002592197,0.0005964792,0.0005459431,0.3110397],"category_scores_gemma":[0.0003347483,0.000214111,0.000185793,0.002689036,0.0009132221,0.0008259872,0.001919214,0.001231603,0.06894232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005076129,"about_ca_system_score_gemma":0.007792314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8167441,"about_ca_topic_score_gemma":0.971678,"domain_scores_codex":[0.9998604,0.000003291312,0.000001565824,0.00001838469,0.00007030214,0.00004598157],"domain_scores_gemma":[0.9997805,0.000005788158,0.000004734223,0.00001176721,0.000125368,0.00007179492],"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":[0.00002152344,0.000006741816,0.0008278057,0.00003676137,0.000001637654,0.0001826072,0.0007222787,0.00004807031,0.0003046586,0.00449069,0.9685925,0.02476474],"study_design_scores_gemma":[0.000002011304,0.000001455672,0.004897664,0.00003253791,0.0000011133,0.00003758293,0.0008720902,0.00001074513,0.00006038027,0.000226739,0.9938539,0.00000375314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003849407,0.0008886995,0.0002139954,0.00126334,0.0005910124,0.00004704743,0.01353776,0.0006406123,0.9789682],"genre_scores_gemma":[0.0126588,0.0006925663,0.0006024085,0.0002703643,0.00008004935,0.00001514653,0.01155402,0.0003239573,0.9738027],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8167441,"threshold_uncertainty_score":0.9827183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04451684502048604,"score_gpt":0.3220249322210526,"score_spread":0.2775080872005666,"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."}}