{"id":"W2335243596","doi":"10.18808/jopr.2015.1.5","title":"10.18808/jopr.2015.1.5","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":1,"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":[0.001290768,0.000658517,0.0004239898,0.002301141,0.002136462,0.005974921,0.001231785,0.002680551,0.9186826],"category_scores_gemma":[0.00273452,0.0005377685,0.000609868,0.001601649,0.001531805,0.004073119,0.003632442,0.001624025,0.8918839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279392,"about_ca_system_score_gemma":0.001500204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002243477,"about_ca_topic_score_gemma":0.002609634,"domain_scores_codex":[0.9993431,0.00009792609,0.00005986147,0.0001291273,0.0002721793,0.00009781585],"domain_scores_gemma":[0.9984124,0.0002530451,0.00009609624,0.0003965405,0.0004292208,0.0004127696],"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":[0.00009140776,0.0001227288,0.0008765405,0.0004680861,0.00001033797,0.0001990264,0.0004308216,0.0001101667,0.001280005,0.04844138,0.5025753,0.4453942],"study_design_scores_gemma":[0.00000846555,0.00001671963,0.0004601563,0.0001774412,0.000003690187,0.0002477106,0.0001423406,0.00008421821,0.0002505055,0.0021662,0.996431,0.00001162191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005906185,0.000623968,0.001107767,0.001091693,0.00102971,0.00004223027,0.0006990529,0.001372427,0.9934425],"genre_scores_gemma":[0.005301307,0.0006126201,0.001306419,0.000600523,0.0002790111,0.00003849478,0.0005906384,0.0008411125,0.9904299],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08131737,"threshold_uncertainty_score":0.1159894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365329500259524,"score_gpt":0.1921238958802577,"score_spread":0.1784706008776624,"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."}}