{"id":"W6999749182","doi":"","title":"Développement d'un système d'acquisition pour le scanner TEP animal de l'Université de Sherbrooke","year":2002,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alunite; Underwater archaeology; Base (topology)","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":[],"consensus_categories":[],"category_scores_codex":[0.002311139,0.0006891473,0.0005304299,0.0008918823,0.0008742344,0.002131733,0.001106867,0.0008855905,0.01397147],"category_scores_gemma":[0.001787691,0.0004140847,0.0005018694,0.0006225674,0.0005376654,0.001208324,0.0009985765,0.0008406202,0.005119672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851723,"about_ca_system_score_gemma":0.003304151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0107707,"about_ca_topic_score_gemma":0.01211991,"domain_scores_codex":[0.9988997,0.0001492976,0.00004082562,0.0002203529,0.0005547556,0.0001349545],"domain_scores_gemma":[0.998377,0.0002859433,0.00007238306,0.0002101987,0.0008744259,0.0001801218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009138039,0.0003058286,0.01013697,0.0005995951,0.00009532849,0.001065748,0.001772875,0.008856329,0.5577878,0.007653989,0.01457615,0.3962356],"study_design_scores_gemma":[0.0001748757,0.002239452,0.02588403,0.0001744402,0.0001267652,0.001606185,0.000819557,0.03488832,0.6316311,0.001040987,0.3012727,0.000141484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3220102,0.001876194,0.600087,0.0017697,0.0003848727,0.001783495,0.001610086,0.01730371,0.05317475],"genre_scores_gemma":[0.3197624,0.001713597,0.5596598,0.0004679284,0.00007967647,0.0008640839,0.003234424,0.00116844,0.1130496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01397147,"threshold_uncertainty_score":0.04673922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094514370789419,"score_gpt":0.1935539062222537,"score_spread":0.1826087625143595,"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."}}