{"id":"W1932745416","doi":"10.18617/liinc.v3i2.231","title":"Triângulos compreensivos da ciência, tecnologia e inovação","year":2017,"lang":"pt","type":"article","venue":"Liinc em Revista","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Technoscience; Humanities; Social innovation; Sociology; Political science; Social science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006761527,0.0006380544,0.000760705,0.0004347853,0.001968024,0.00453127,0.002351919,0.0007905587,0.002854068],"category_scores_gemma":[0.0006662456,0.0007156992,0.0002556058,0.0006302677,0.0002995816,0.00307906,0.002249521,0.001327901,0.002400017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002767123,"about_ca_system_score_gemma":0.0001048613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004611282,"about_ca_topic_score_gemma":0.00007981127,"domain_scores_codex":[0.9964358,0.00004456284,0.0008107983,0.0009349858,0.0009619206,0.0008119449],"domain_scores_gemma":[0.9946359,0.00006391633,0.0021049,0.002448309,0.0006862458,0.00006075726],"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":[0.0003821523,0.0008691368,0.397708,0.002337588,0.0008064064,0.0006938289,0.0003518081,0.00008847484,0.0010479,0.2475744,0.3217186,0.02642168],"study_design_scores_gemma":[0.003905563,0.00008312169,0.1474635,0.001249242,0.0007151558,0.00001162665,0.001837886,0.004273885,0.0001643135,0.001224651,0.8370772,0.001993829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8624068,0.0004103961,0.001716966,0.01015586,0.00197456,0.001608871,0.0001250771,0.0004332095,0.1211683],"genre_scores_gemma":[0.9499961,0.00002764162,0.000139807,0.003110106,0.001652169,0.000008388994,0.0001005447,0.00008221619,0.04488298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5153586,"threshold_uncertainty_score":0.9995294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05296991909866817,"score_gpt":0.2635617097439159,"score_spread":0.2105917906452477,"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."}}