{"id":"W7095346072","doi":"","title":"que des gens tombent... amoureux!","year":2014,"lang":"en","type":"article","venue":"","topic":"Nutrition, Health, and Society Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sequence (biology); MEDLINE; Identification (biology); 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":[0.003979139,0.001058959,0.001123073,0.001182604,0.006706947,0.008069672,0.001129059,0.005094356,0.1718887],"category_scores_gemma":[0.01677315,0.0004698157,0.0007396456,0.00101954,0.005117328,0.009757745,0.004195501,0.01055482,0.09289785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003554111,"about_ca_system_score_gemma":0.004457255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01988106,"about_ca_topic_score_gemma":0.03015875,"domain_scores_codex":[0.9963735,0.001129435,0.000106241,0.0006548624,0.001208659,0.0005273962],"domain_scores_gemma":[0.9937407,0.000802636,0.0004009026,0.0003805874,0.002839184,0.001835956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006450654,0.00002843782,0.0007841535,0.00007916589,0.000008267302,0.0001455885,0.001299054,0.00003678043,0.0002830679,0.02353997,0.9476734,0.02605764],"study_design_scores_gemma":[0.000004235099,0.00001452266,0.0003383448,0.00009513924,0.000002403989,0.0001190514,0.001195665,0.00002241066,0.00007725211,0.002864823,0.9952534,0.00001273086],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002745674,0.01643503,0.001946463,0.7550723,0.08458214,0.00005204795,0.0005279076,0.0005694479,0.138069],"genre_scores_gemma":[0.01692008,0.007472337,0.002007053,0.1669285,0.009926569,0.0000673441,0.0002560379,0.0007155514,0.7957066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1718887,"threshold_uncertainty_score":0.5750249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078930517579501,"score_gpt":0.2194238630378057,"score_spread":0.1986345578620107,"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."}}