{"id":"W2014483603","doi":"10.7198/s2318-34032013001035","title":"PROSPECÇÃO TECNOLÓGICA: BARRA DE CEREAIS FUNCIONAIS E HIPOLIPEMIANTES","year":2013,"lang":"pt","type":"article","venue":"ANAIS DO SIMPÓSIO INTERNACIONAL DE INOVAÇÃO TECNOLÓGICA - SIMTEC","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.0007826228,0.0003289777,0.0002963578,0.001872323,0.001200307,0.00256416,0.0003067881,0.0004901686,0.00601707],"category_scores_gemma":[0.001180395,0.0002423564,0.0003858335,0.002280265,0.001003637,0.00153043,0.001049498,0.000522954,0.00074053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009708122,"about_ca_system_score_gemma":0.0007551223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01068308,"about_ca_topic_score_gemma":0.01369721,"domain_scores_codex":[0.9995719,0.00004969425,0.00001931581,0.0001255619,0.0001481981,0.00008532227],"domain_scores_gemma":[0.998874,0.0001644513,0.0004070687,0.0000742007,0.0002766403,0.000203611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00146838,0.0003535955,0.4618052,0.001046604,0.0002127604,0.003113014,0.01850201,0.000371739,0.2951081,0.01173188,0.001331949,0.2049547],"study_design_scores_gemma":[0.00002011833,0.0005725496,0.8875602,0.0002077895,0.0001261157,0.002680528,0.009061336,0.0003023994,0.02167244,0.003606458,0.07412769,0.00006221569],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9784245,0.004331432,0.00148348,0.0002841525,0.00002174528,0.00002534861,0.0004231619,0.00003072293,0.01497547],"genre_scores_gemma":[0.9798107,0.003291825,0.002707961,0.0001211771,0.00003139611,0.00002486305,0.0005355674,0.00001925571,0.0134573],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01068308,"threshold_uncertainty_score":0.02124184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881085156275514,"score_gpt":0.2334729261815706,"score_spread":0.2146620746188155,"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."}}