{"id":"W4235019106","doi":"10.18687/laccei2019.1.1.512","title":"10.18687/LACCEI2019.1.1.512","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001357546,0.0007536167,0.0005030279,0.0034997,0.002655795,0.007807078,0.001332951,0.002553243,0.9157584],"category_scores_gemma":[0.003052008,0.0003919723,0.0005041679,0.003815732,0.001834463,0.004400666,0.004179752,0.001728233,0.9142112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003530885,"about_ca_system_score_gemma":0.001935015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007905747,"about_ca_topic_score_gemma":0.009499809,"domain_scores_codex":[0.9993659,0.00007054413,0.00004889829,0.0001070422,0.0002945841,0.0001131489],"domain_scores_gemma":[0.997466,0.0002826187,0.0001076842,0.0005435137,0.0009500011,0.0006501665],"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":[0.00007692992,0.00007431563,0.0006589064,0.0003131323,0.00000552762,0.0001499101,0.0002625384,0.000100328,0.0009127344,0.02823152,0.5859296,0.3832846],"study_design_scores_gemma":[0.000004551528,0.000005950896,0.0002958035,0.00009228208,0.000001549902,0.0000916686,0.00009024982,0.00004705196,0.0001680188,0.0008550408,0.9983404,0.000007443267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003256489,0.0004441123,0.0005562248,0.0008813804,0.0005159461,0.00004247933,0.0006782629,0.0009681132,0.9955878],"genre_scores_gemma":[0.00262329,0.0004250554,0.0005938843,0.0004006923,0.0001363886,0.0000323641,0.0006222347,0.0004978309,0.9946683],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08424157,"threshold_uncertainty_score":0.1201604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420708142925004,"score_gpt":0.1848331302555038,"score_spread":0.1706260488262538,"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."}}