{"id":"W6930158940","doi":"10.5281/zenodo.11919520","title":"sir gawain and the green knight book pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Molecular Sensors and Ion Detection","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knight; Pretext; Paraphernalia; Circumstantial evidence; Gloom; Ceylon","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003249374,0.0001996743,0.0001848265,0.0001623086,0.0005272058,0.0005364955,0.0004671387,0.0001785943,0.2217302],"category_scores_gemma":[0.0001594322,0.0001573902,0.00008034744,0.0001831647,0.0002421408,0.00004951399,0.0007125715,0.0004438913,0.04755244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005894059,"about_ca_system_score_gemma":0.000001783897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005871148,"about_ca_topic_score_gemma":6.334355e-7,"domain_scores_codex":[0.9986983,0.0001671647,0.0001763413,0.0003920641,0.0003022353,0.0002639281],"domain_scores_gemma":[0.9992181,0.00001358087,0.0001032487,0.0004708618,0.00007415643,0.0001200518],"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":[0.00003268907,0.00001797233,4.808658e-8,0.0002523698,0.00008841699,0.0000135878,0.0002563631,3.238175e-7,0.0008716891,0.001268174,0.9835338,0.01366457],"study_design_scores_gemma":[0.0004437638,0.00002242161,7.44235e-7,0.0001231413,0.00004356607,0.000123267,0.00008467472,0.000113406,0.0003514132,0.0001044073,0.9984108,0.0001784127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000311551,0.003151959,0.0001671658,0.0006058032,0.0000989257,0.0001999913,0.0001201968,0.000729417,0.9948954],"genre_scores_gemma":[0.0008485677,0.0008167978,0.00002255642,0.0001970348,0.0005825231,6.456445e-8,0.0004384877,0.00575065,0.9913433],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1741778,"threshold_uncertainty_score":0.9531891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181468306940539,"score_gpt":0.2072416668978519,"score_spread":0.1954269838284465,"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."}}