{"id":"W3013207807","doi":"10.2196/16543","title":"Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework","year":2020,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Protocol (science); Application programming interface; World Wide Web; Python (programming language); Population; Information retrieval; Online search; Search engine; Data science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01692855,0.0002709905,0.0007420027,0.000268185,0.0006375321,0.0005505377,0.002578205,0.0002180153,0.00007127824],"category_scores_gemma":[0.02278466,0.0002225353,0.0001054258,0.002018905,0.0003353536,0.0004886582,0.002954468,0.001223926,0.00005319834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003781246,"about_ca_system_score_gemma":0.001557844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000382546,"about_ca_topic_score_gemma":0.00001776568,"domain_scores_codex":[0.9917988,0.002250897,0.0008173797,0.00174918,0.001691597,0.001692206],"domain_scores_gemma":[0.9915064,0.003150587,0.000215738,0.002193239,0.001615628,0.001318418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.05374819,0.003433971,0.004092099,0.03633232,0.0001698408,0.00002197817,0.001329685,0.00004747513,0.01295845,0.00232267,0.3771145,0.5084288],"study_design_scores_gemma":[0.002933951,0.00574617,0.0004790716,0.003326306,0.000002885528,0.00000352483,0.0001977212,0.007181849,0.002028648,0.001658198,0.9762219,0.0002198328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.00003424403,0.000001912767,0.2581185,0.01392273,0.00000302467,0.7271544,0.0005308823,0.0001897931,0.000044556],"genre_scores_gemma":[0.0001363963,1.084621e-7,0.2982254,0.0007771525,0.0005397557,0.699988,0.0002316573,0.00006913482,0.0000323485],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.5991073,"threshold_uncertainty_score":0.9854468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9622985014111949,"score_gpt":0.7936543135085232,"score_spread":0.1686441879026717,"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."}}