{"id":"W4255957720","doi":"10.4000/laboreal.568","title":"What is watt?: história de uma medida","year":2018,"lang":"pt","type":"article","venue":"Laboreal","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Sept Iles","funders":"","keywords":"Watt; Environmental science; Physics; Power (physics); Thermodynamics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001398624,0.0003051742,0.0004598478,0.0002054185,0.00058475,0.0009880784,0.0009844877,0.0001570717,0.00502878],"category_scores_gemma":[0.0003549071,0.0002277719,0.000124826,0.001241808,0.0006264168,0.001058605,0.000772475,0.0001473,0.003034813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008739145,"about_ca_system_score_gemma":0.0001194676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008713643,"about_ca_topic_score_gemma":0.0007940494,"domain_scores_codex":[0.9966463,0.0001195747,0.0005574651,0.0007442398,0.001216871,0.0007155855],"domain_scores_gemma":[0.9976676,0.0002323071,0.0002385755,0.0008750266,0.0007947713,0.0001917226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006344909,0.00009703115,0.006125507,0.000024717,0.00009886618,0.00003349108,0.01013333,5.453072e-7,0.00003163004,0.006775747,0.6335941,0.3430216],"study_design_scores_gemma":[0.0007012395,0.0001781491,0.04884337,0.0001370113,0.0001032851,0.000003706749,0.008177831,0.002349483,0.0002719662,0.009449574,0.9293919,0.000392547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2739575,0.02968955,0.03581307,0.3776065,0.09700857,0.002246887,0.0006779543,0.0007180386,0.182282],"genre_scores_gemma":[0.8744769,0.005669686,0.0005382053,0.01207615,0.001497885,0.00002785227,0.00001097924,0.00004057194,0.1056618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6005194,"threshold_uncertainty_score":0.9977415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06981972943095575,"score_gpt":0.3732901202646703,"score_spread":0.3034703908337146,"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."}}