{"id":"W4411391181","doi":"10.53762/ksv2nt63","title":"10.53762/ksv2nt63","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Philosophy; State (computer science); Art history; Art; Environmental ethics; History; Computer science; Archaeology; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006538221,0.0007664107,0.0004910942,0.002840303,0.001791409,0.004820894,0.0008933634,0.001633049,0.9353458],"category_scores_gemma":[0.001838035,0.0003993751,0.0005262252,0.00393165,0.000964582,0.003210312,0.003159364,0.0009710121,0.9418368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334736,"about_ca_system_score_gemma":0.0007561471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004057331,"about_ca_topic_score_gemma":0.004909795,"domain_scores_codex":[0.9993976,0.0001048614,0.00006007154,0.0001291014,0.0002320655,0.00007627024],"domain_scores_gemma":[0.9984282,0.0002917226,0.0001107132,0.0004268888,0.0005075313,0.0002349691],"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":[0.0001167233,0.00009183324,0.001832431,0.0003663355,0.00001449263,0.0002570188,0.0004490923,0.0001749309,0.002350888,0.01658429,0.3674623,0.6102998],"study_design_scores_gemma":[0.000009888326,0.00001386706,0.00153805,0.000162533,0.00000565227,0.0002644463,0.0003464693,0.0002079067,0.0004597341,0.002491319,0.9944887,0.000011237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001342778,0.0004333607,0.00117969,0.0007107671,0.0004332787,0.0000408261,0.001764692,0.001266228,0.9928283],"genre_scores_gemma":[0.007238922,0.0003160325,0.0007647776,0.0001899028,0.00008928868,0.00003451369,0.00121033,0.000429189,0.9897271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06465417,"threshold_uncertainty_score":0.09222132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006395450563418896,"score_gpt":0.1667918799900757,"score_spread":0.1603964294266568,"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."}}