{"id":"W4391240583","doi":"10.7202/1108669ar","title":"Mission : photo d’un objet juridique de mieux en mieux identifié","year":2024,"lang":"fr","type":"article","venue":"Lex Electronica","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Art; Humanities","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001666333,0.0002925443,0.0003020327,0.00005481208,0.0007453205,0.0004998221,0.00089388,0.0004569917,0.003586659],"category_scores_gemma":[0.0002415311,0.0002926639,0.0003324773,0.00141858,0.0005434173,0.0005763732,0.0001183237,0.0007542269,0.0008349797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364951,"about_ca_system_score_gemma":0.003689903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03235548,"about_ca_topic_score_gemma":0.02235212,"domain_scores_codex":[0.9959104,0.0005447976,0.0003715789,0.0007464243,0.0007927747,0.00163403],"domain_scores_gemma":[0.998767,0.0003677017,0.0001271639,0.0002947157,0.00006206333,0.0003813672],"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":[0.00002727887,0.0001776696,0.0004350201,0.0001295416,0.0001093944,0.0001108119,0.02453356,0.00002635088,0.007458124,0.3471029,0.5124391,0.1074503],"study_design_scores_gemma":[0.0001258911,0.000133111,0.0009869568,0.0002353484,0.0000653099,0.00001378857,0.0009225773,0.0005606534,0.00350774,0.04601975,0.9470593,0.0003695196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4387219,0.2040764,0.0007203814,0.1914673,0.0135464,0.0007734718,0.00008039537,0.0004883776,0.1501253],"genre_scores_gemma":[0.7616268,0.01450015,0.0002837976,0.0009643263,0.003876118,0.0000249948,0.000005810862,0.00003923558,0.2186788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4346203,"threshold_uncertainty_score":0.9999526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324482550360939,"score_gpt":0.3148960661838807,"score_spread":0.3016512406802713,"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."}}