{"id":"W3217070617","doi":"10.3917/dm.103.0159","title":"10.3917/dm.103.0159","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Social Representations and Identity","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market segmentation; Food market; Business; Marketing; Artificial intelligence; Computer science; Geography; Agriculture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001242534,0.001153071,0.0008523656,0.00210163,0.00189228,0.004248353,0.001038605,0.002066278,0.8894474],"category_scores_gemma":[0.002875374,0.0004369396,0.00051893,0.002474313,0.00137093,0.003019694,0.002925577,0.001938801,0.8449836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002755195,"about_ca_system_score_gemma":0.00218992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003746775,"about_ca_topic_score_gemma":0.004746526,"domain_scores_codex":[0.9988452,0.0002189129,0.00009022556,0.0003359961,0.0003188802,0.0001907536],"domain_scores_gemma":[0.9979436,0.000306205,0.0001526097,0.0003232233,0.0006596503,0.0006146764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002908392,0.0004734475,0.004001094,0.0005050002,0.00001546904,0.000314331,0.0002784685,0.0001286015,0.001173422,0.02040926,0.3458392,0.6265708],"study_design_scores_gemma":[0.00002889771,0.00003643483,0.003566361,0.0003795484,0.0000097287,0.0005870132,0.0002896715,0.000135071,0.000318491,0.002811669,0.9918224,0.00001472661],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002431627,0.001888308,0.0008473153,0.004378464,0.001616722,0.0001054512,0.001471376,0.0003623582,0.9868983],"genre_scores_gemma":[0.01145746,0.001603491,0.0009494782,0.001506499,0.0004391082,0.0001228201,0.0007815653,0.0001918021,0.9829478],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1105526,"threshold_uncertainty_score":0.1576899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494870878366192,"score_gpt":0.2898265511495541,"score_spread":0.2748778423658922,"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."}}