{"id":"W4282961100","doi":"10.2196/39180","title":"News Coverage of Colorectal Cancer on Google News: Descriptive Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colorectal cancer; Descriptive statistics; Medicine; Content analysis; Disease; Cancer; Internal medicine; Sociology; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.001835987,0.0002122762,0.0005693649,0.0107418,0.0006682994,0.001749346,0.0004261156,0.000433635,0.003352816],"category_scores_gemma":[0.01450505,0.0003632432,0.0007141519,0.01189815,0.0006116865,0.002235592,0.001190636,0.0005136337,0.0008301688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023763,"about_ca_system_score_gemma":0.0009853579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005017252,"about_ca_topic_score_gemma":0.0077972,"domain_scores_codex":[0.998244,0.0003256508,0.0004931691,0.0001679331,0.000564255,0.0002049819],"domain_scores_gemma":[0.9762083,0.0129424,0.006732612,0.0003819867,0.003040795,0.0006937814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002305603,0.0002106138,0.9670479,0.002402654,0.0001192668,0.0007201091,0.0141609,0.00003773861,0.0003657631,0.0001737546,0.002458966,0.0120718],"study_design_scores_gemma":[0.00001528582,0.0002340813,0.9585071,0.0007602097,0.0001629308,0.001879553,0.03174554,0.0002211739,0.0002222002,0.00005914399,0.00616747,0.00002527832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833459,0.001834878,0.0001151462,0.0002292974,0.00001636301,0.0003151214,0.01082255,0.00001598732,0.003304725],"genre_scores_gemma":[0.9873064,0.003285047,0.0005202341,0.0002966808,0.00007464115,0.0006721235,0.006793786,0.00002140935,0.001029704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0107418,"threshold_uncertainty_score":0.01121628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0259410705250481,"score_gpt":0.3309438117286465,"score_spread":0.3050027412035984,"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."}}