{"id":"W7099512047","doi":"","title":"LUITAUD CYRIL PRODUCTION DE GENCIVE HUMAINE PAR GENIE","year":2015,"lang":"en","type":"article","venue":"","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Animal production; Production system (computer science); Subject (documents)","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":[0.002515761,0.0006340457,0.0004998456,0.001575482,0.004590513,0.003364514,0.0005054564,0.0007348894,0.02250024],"category_scores_gemma":[0.002683468,0.0002467216,0.00043876,0.001303164,0.002077503,0.0005582,0.002795832,0.001047795,0.003417638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005271283,"about_ca_system_score_gemma":0.006858453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07987762,"about_ca_topic_score_gemma":0.1781837,"domain_scores_codex":[0.9990537,0.0002849708,0.00002106625,0.000189311,0.0002965096,0.0001544367],"domain_scores_gemma":[0.9987701,0.0003100938,0.0001407423,0.00008282241,0.0004165919,0.0002796614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003377381,0.0006252165,0.1186214,0.001305361,0.0001182706,0.006383098,0.1231451,0.0007171328,0.08655272,0.03485858,0.03962956,0.5846661],"study_design_scores_gemma":[0.00006063635,0.0008273955,0.1446519,0.000475247,0.00005220465,0.0008073437,0.02277416,0.000130395,0.01182992,0.0008420026,0.8175187,0.00003010542],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7066013,0.01834761,0.002061072,0.006949296,0.001269172,0.0003362941,0.0007192497,0.0001818344,0.2635342],"genre_scores_gemma":[0.4561905,0.008003779,0.004240976,0.0009413199,0.0004237582,0.0001172184,0.0003619977,0.0001807295,0.5295398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07987762,"threshold_uncertainty_score":0.1588253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1277623570067132,"score_gpt":0.2470376307934256,"score_spread":0.1192752737867125,"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."}}