{"id":"W7029434092","doi":"","title":"Influence marketing","year":2010,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Marketing and Advertising Strategies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Proposition; Presentation (obstetrics); Questions and answers; Quarter (Canadian coin)","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":[],"consensus_categories":[],"category_scores_codex":[0.001401777,0.0002482203,0.0002013389,0.0001071928,0.0005606285,0.0008037762,0.001165778,0.00006452501,0.00005384733],"category_scores_gemma":[0.00009386962,0.0002171161,0.00002956415,0.0002701968,0.0001202339,0.001491926,0.0011539,0.0003960008,0.00004587012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002716036,"about_ca_system_score_gemma":0.0000131151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380811,"about_ca_topic_score_gemma":0.001464518,"domain_scores_codex":[0.99843,0.00003413728,0.0002778674,0.0005954729,0.0002166081,0.0004459892],"domain_scores_gemma":[0.9985725,0.0002788386,0.0001878092,0.0008846899,0.00004414647,0.00003198252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000304375,0.0001089947,0.8612356,0.003686266,0.0001161904,0.00005141976,0.001104382,0.0008761476,0.01349198,0.003534634,0.006798073,0.108692],"study_design_scores_gemma":[0.0003390694,0.000004601174,0.6351531,0.0008406379,0.00007470385,0.00001851426,0.0005973041,0.257054,0.0000170888,0.00202958,0.1033028,0.0005686423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713156,0.0001001581,0.00007009895,0.0003264672,0.0003028256,0.00009103395,0.00002236571,0.000248773,0.02752272],"genre_scores_gemma":[0.9955614,0.00006159509,0.0007973054,0.00165238,0.001453046,0.000004565203,0.0002450585,0.00003277174,0.0001918382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2561778,"threshold_uncertainty_score":0.8853737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008041679562335598,"score_gpt":0.2152105840793221,"score_spread":0.2071689045169865,"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."}}