{"id":"W6889231810","doi":"10.25446/oxford.25238290.v1","title":"52361: Postcard 'Canada finds a little dog in Hun trenches and presents it to nurse'","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; Work (physics); Line drawings; Feature (linguistics)","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":[0.0004532335,0.0009423731,0.0005125104,0.0008781503,0.003745305,0.003464732,0.001092397,0.002506603,0.8484875],"category_scores_gemma":[0.002921628,0.0006028914,0.0002779022,0.0009284428,0.0006060653,0.002146618,0.001803385,0.002115124,0.7364278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003293761,"about_ca_system_score_gemma":0.003687347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.176585,"about_ca_topic_score_gemma":0.3826358,"domain_scores_codex":[0.999514,0.00002895212,0.00001477703,0.00003543704,0.0002194909,0.0001873609],"domain_scores_gemma":[0.9976451,0.0001818806,0.0000422612,0.00007713879,0.001331095,0.0007225889],"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":[0.000009021887,0.000005086504,0.00003600244,0.000009161769,1.258212e-7,0.00001744293,0.0000231754,0.000004379508,0.00003862786,0.0002110811,0.9964333,0.003212649],"study_design_scores_gemma":[0.000009125162,0.000008394724,0.0005670101,0.00002017623,5.795105e-7,0.00001609672,0.0001312894,0.00002869166,0.0000469012,0.00007398677,0.9990917,0.000006056609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004751178,0.0001199468,0.0001296022,0.002531403,0.002030745,0.000119069,0.003293112,0.0009913903,0.9903095],"genre_scores_gemma":[0.0007792073,0.00004055659,0.00003203237,0.0007767564,0.0001416433,0.00001952105,0.0005527566,0.0002291906,0.9974284],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8484875,"threshold_uncertainty_score":0.3511142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939802553604646,"score_gpt":0.3307352018540242,"score_spread":0.3013371763179777,"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."}}