{"id":"W6993006311","doi":"","title":"Nantes – Rues Grande et Petite Biesse","year":2022,"lang":"fr","type":"other","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Medieval European History and Architecture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cave; Qualitative analysis; Quarter (Canadian coin)","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004528647,0.0009114363,0.0008288323,0.0006322467,0.001969037,0.0004265062,0.001136105,0.0005681968,0.3561661],"category_scores_gemma":[0.0002785615,0.0008728442,0.0005592991,0.0003114948,0.001150481,0.0003538336,0.0004493508,0.002841149,0.001460595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005588697,"about_ca_system_score_gemma":0.000357406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007139,"about_ca_topic_score_gemma":0.001991682,"domain_scores_codex":[0.9960201,0.001118582,0.0004313103,0.0009095658,0.0006393907,0.0008809883],"domain_scores_gemma":[0.9978849,0.000367838,0.000562022,0.0006251846,0.000125186,0.0004348291],"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":[0.0001982707,0.0002342746,0.00007354859,0.0002550438,0.0005355984,0.00130084,0.04176908,0.0001427794,0.0003744072,0.3725826,0.5781999,0.004333589],"study_design_scores_gemma":[0.001516248,0.0003158848,0.001155984,0.0005565437,0.0003784389,0.0001326206,0.01883082,0.00001948741,0.0000260609,0.0001345392,0.9758462,0.00108721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007322454,0.003243502,0.00001354675,0.01396601,0.002507616,0.0006391631,0.001819034,0.0003489935,0.9701397],"genre_scores_gemma":[0.008742212,0.0007382281,0.00008784824,0.001773375,0.002888555,0.00002075323,0.0007673666,0.0003494009,0.9846323],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3976462,"threshold_uncertainty_score":0.9994593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754394660617496,"score_gpt":0.2227477539196658,"score_spread":0.1952038073134909,"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."}}