{"id":"W2679210439","doi":"10.20472/iac.2017.029.028","title":"BEHAVIORAL RISK FACTOR SURVEILLANCE SYSTEM DEVELOPMENT IN THE REPUBLIC OF MOLDOVA","year":2017,"lang":"en","type":"article","venue":"","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Factor (programming language); Computer science; Computer security; Risk analysis (engineering); Business","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":[0.004760413,0.0003077786,0.0002815821,0.001369901,0.0006498701,0.001538104,0.0008072105,0.0003567168,0.002566118],"category_scores_gemma":[0.004576881,0.0002760684,0.0003783368,0.0009593167,0.0003854162,0.0007683208,0.001159289,0.0005958703,0.0003752262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002936785,"about_ca_system_score_gemma":0.009525045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03768388,"about_ca_topic_score_gemma":0.02926049,"domain_scores_codex":[0.9973804,0.001231508,0.0002941169,0.0002534279,0.0003669795,0.0004733798],"domain_scores_gemma":[0.9967601,0.0006206877,0.0006844861,0.0003188777,0.00102662,0.0005891903],"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":[0.0005482456,0.0006743686,0.6896967,0.001323928,0.0001040636,0.00104518,0.006254331,0.002932882,0.005897308,0.004037874,0.006046555,0.2814386],"study_design_scores_gemma":[0.00008523166,0.000659775,0.9453471,0.0007279989,0.00006445156,0.0003486905,0.006508239,0.003542621,0.002760917,0.0003817207,0.03951905,0.00005433228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680615,0.002145307,0.006003577,0.002364385,0.0002212122,0.00253465,0.004374526,0.0003469347,0.01394797],"genre_scores_gemma":[0.9825234,0.0008438271,0.01017235,0.00028261,0.0000324326,0.0006635939,0.002466519,0.00002259704,0.002992729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03768388,"threshold_uncertainty_score":0.07492906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09542719971792528,"score_gpt":0.3868547580227961,"score_spread":0.2914275583048708,"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."}}