{"id":"W1537594794","doi":"10.3395/reciis.v2i1.832","title":"La science sous observation – cent ans de mesure sur les scientifiques 1906 – 2006","year":2008,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.006761104,0.0005846939,0.0007855503,0.001722077,0.002907065,0.001219347,0.006243312,0.000274573,0.001512345],"category_scores_gemma":[0.004702437,0.0004803998,0.0003529782,0.01501427,0.01363263,0.008780912,0.001202162,0.001105742,0.0004936944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002382148,"about_ca_system_score_gemma":0.00557997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02063798,"about_ca_topic_score_gemma":0.000105469,"domain_scores_codex":[0.9868113,0.001336433,0.00126733,0.002297992,0.006036535,0.00225039],"domain_scores_gemma":[0.9935648,0.001929763,0.0007760632,0.001589918,0.000709152,0.001430275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003810824,0.0001933093,0.7677686,0.00001908114,0.00001517087,0.0001837576,0.003107025,0.0002339211,0.00465673,0.001323422,0.1465506,0.07591026],"study_design_scores_gemma":[0.0003745282,0.0001784214,0.9119316,0.0001320026,0.00001672006,0.00006910734,0.002875892,0.01063246,0.008105229,0.001194049,0.0637744,0.000715537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763782,0.002303648,0.002625954,0.008053841,0.0008234582,0.0005102236,0.0001541654,0.0002454006,0.008905085],"genre_scores_gemma":[0.964405,0.003444569,0.002987682,0.001529823,0.0002644048,0.00002823739,0.00001746776,0.00005791235,0.02726492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.144163,"threshold_uncertainty_score":0.9998175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09027888377794317,"score_gpt":0.3443005161733214,"score_spread":0.2540216323953782,"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."}}