{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1968201,0.003869249,0.004833498,0.008700212,0.006940143,0.006111689,0.003772812,0.009353839,0.08560574],"category_scores_gemma":[0.3217514,0.004789,0.005952386,0.01143309,0.007985373,0.005374768,0.006078012,0.0142107,0.02832383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009531043,"about_ca_system_score_gemma":0.03720074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004836648,"about_ca_topic_score_gemma":0.006264295,"domain_scores_codex":[0.8096473,0.1206547,0.04384772,0.006742313,0.01456341,0.00454464],"domain_scores_gemma":[0.6471258,0.1532789,0.02552336,0.08983609,0.07917226,0.005063531],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.03558286,0.006597808,0.004040081,0.08326227,0.001274773,0.001843277,0.01781614,0.007173603,0.006971373,0.1293143,0.4664273,0.2396961],"study_design_scores_gemma":[0.03340607,0.005833139,0.00818524,0.03417844,0.0005537744,0.0005185297,0.005249267,0.008155415,0.006849407,0.07201413,0.8243017,0.0007549917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0006778358,0.0001142223,0.01831811,0.0009477458,0.0005939112,0.9718357,0.004788618,0.0005073726,0.002216515],"genre_scores_gemma":[0.0003226597,0.00003246842,0.008524597,0.0001965246,0.00002680885,0.9905064,0.0001623532,0.00002508939,0.0002031575],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.8031799,"threshold_uncertainty_score":0.9904639,"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."}}