{"id":"W6981864710","doi":"","title":"FloraGLO® Crystalline Lutein","year":2014,"lang":"en","type":"other","venue":"Contact-less Assessment of In-vivo Body Signals Using Microwave Doppler Radar (InTech)","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lutein; Ingredient; Food products; Health food; Health benefits; Food safety","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":[0.0004198013,0.0002537496,0.0001644976,0.0006212232,0.000380263,0.000725936,0.0004609783,0.000329823,0.04072075],"category_scores_gemma":[0.0007431637,0.0001102123,0.000190002,0.0004847294,0.0004238203,0.0001698486,0.0005000846,0.0004266186,0.005085159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001863181,"about_ca_system_score_gemma":0.004126527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1643084,"about_ca_topic_score_gemma":0.3047465,"domain_scores_codex":[0.9997441,0.00003121228,0.000005637738,0.00004100304,0.0001475599,0.00003047753],"domain_scores_gemma":[0.9997136,0.00006184883,0.00003725986,0.00002582761,0.00008734495,0.00007403296],"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":[0.00182262,0.0002792012,0.009422534,0.0008840102,0.00003524673,0.000283336,0.0002145214,0.0009335954,0.04217479,0.006777732,0.1981694,0.739003],"study_design_scores_gemma":[0.000277804,0.0008617289,0.01963188,0.0002514513,0.00004528729,0.0004879594,0.0002199909,0.00211501,0.02228172,0.001045189,0.9527557,0.00002633919],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1133944,0.01850359,0.01822614,0.009406023,0.0007105502,0.001199347,0.0244009,0.004099832,0.8100593],"genre_scores_gemma":[0.4599019,0.01065391,0.01948822,0.00207165,0.0001211109,0.0002806654,0.009039089,0.0002820885,0.4981614],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1643084,"threshold_uncertainty_score":0.3267041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07660313802690077,"score_gpt":0.366282622046448,"score_spread":0.2896794840195472,"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."}}