{"id":"W2996954994","doi":"","title":"Nourrir la fierté","year":2020,"lang":"de","type":"article","venue":"Continuité","topic":"Nuts composition and effects","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"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":[0.0001551871,0.0002579325,0.0003646032,0.00004599962,0.000133031,0.0002172352,0.0002691569,0.0002047634,0.0009208551],"category_scores_gemma":[0.0001982318,0.0002748032,0.0001992869,0.0002316232,0.00008927984,0.0001084819,0.00009579795,0.0004351169,0.006707864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003694299,"about_ca_system_score_gemma":0.00002974598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001178761,"about_ca_topic_score_gemma":0.000002087437,"domain_scores_codex":[0.9983686,0.0003073679,0.0002839539,0.000409856,0.0002220402,0.0004081512],"domain_scores_gemma":[0.9989047,0.0002804425,0.0001089399,0.0002688034,0.00006245105,0.0003746634],"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":[0.0009320873,0.0003046628,0.001810743,0.0004863543,0.0002526416,0.0005528281,0.01477973,0.00002138002,0.05864586,0.003233484,0.5656637,0.3533165],"study_design_scores_gemma":[0.001839597,0.0003760765,0.002069762,0.0002696361,0.0001896351,0.00001032171,0.0001531671,0.003277777,0.01376095,0.000144587,0.9774843,0.0004242385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4489554,0.02921852,0.003283703,0.1867524,0.01834025,0.00230423,0.0001870668,0.00189989,0.3090585],"genre_scores_gemma":[0.9825468,0.00005114182,0.0002216372,0.01205755,0.002595108,0.000008451978,0.00002812349,0.00005878721,0.002432385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5335914,"threshold_uncertainty_score":0.9999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308546768123217,"score_gpt":0.2486462651063726,"score_spread":0.2355607974251404,"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."}}