{"id":"W7045314828","doi":"","title":"Altay Manço et le pourcentage Métis : avec la Turquie en fond","year":2017,"lang":"fr","type":"book","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Period (music); Relation (database)","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":[0.001556863,0.0009997616,0.0006596787,0.001111283,0.004470327,0.006175374,0.0008125593,0.002914276,0.01846628],"category_scores_gemma":[0.003208694,0.0003737628,0.000500137,0.001425264,0.005774199,0.006677462,0.002560605,0.005689953,0.004629131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007736402,"about_ca_system_score_gemma":0.004703213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02846784,"about_ca_topic_score_gemma":0.04703149,"domain_scores_codex":[0.9989859,0.0003905267,0.00003714357,0.0001724148,0.0002648019,0.0001490329],"domain_scores_gemma":[0.9994848,0.0001770986,0.00005618349,0.00006408363,0.0001524318,0.00006543337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006517702,0.00001271516,0.0001203132,0.0001522155,0.00000667057,0.00008140519,0.002558276,0.00007341977,0.0001531606,0.816126,0.1474953,0.03315538],"study_design_scores_gemma":[0.000004298985,0.000004388297,0.0001286903,0.00009192978,0.00000232726,0.00005911706,0.0002564812,0.00002250356,0.00005229102,0.01364898,0.9857249,0.000004089298],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004162243,0.176357,0.002694708,0.1218015,0.0177382,0.00003521459,0.0001994295,0.0001873786,0.6768244],"genre_scores_gemma":[0.06889878,0.04506614,0.001677236,0.01421596,0.006748088,0.0001193547,0.00009873758,0.0004749019,0.8627008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02846784,"threshold_uncertainty_score":0.0617758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04634034123788711,"score_gpt":0.3740690197834473,"score_spread":0.3277286785455602,"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."}}