{"id":"W3000209735","doi":"","title":"Detecting Clickbait: Here's How to Do It / Comment détecter les pièges à clic","year":2019,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pi; Physics; Humanities; Philosophy; Mathematics; Geometry","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":[0.005053266,0.001099912,0.0005798645,0.006725974,0.003537459,0.007155037,0.001128569,0.003422094,0.02560424],"category_scores_gemma":[0.04800221,0.0004634979,0.0004603053,0.002542026,0.001447802,0.008341325,0.002509263,0.002544609,0.0136756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949033,"about_ca_system_score_gemma":0.003986689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05735103,"about_ca_topic_score_gemma":0.07977316,"domain_scores_codex":[0.995865,0.0008756647,0.0003096259,0.0003878834,0.002083264,0.0004786307],"domain_scores_gemma":[0.9691758,0.01173301,0.002572723,0.001724211,0.01272019,0.002074164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005034434,0.0002386393,0.08927837,0.0008400623,0.00007035077,0.001308181,0.008025981,0.000673797,0.009872131,0.006055934,0.6617655,0.2213675],"study_design_scores_gemma":[0.00006682569,0.0002251042,0.04534096,0.001907891,0.0002202706,0.002073588,0.04349249,0.01380143,0.02450057,0.008192623,0.8597792,0.0003990128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3429007,0.008328808,0.05557191,0.2301655,0.01980832,0.001457175,0.01803544,0.04506011,0.2786719],"genre_scores_gemma":[0.6783823,0.004042594,0.05286023,0.02960351,0.004347685,0.000392339,0.008703076,0.004882743,0.2167855],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05735103,"threshold_uncertainty_score":0.1140344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03467984654745614,"score_gpt":0.2762819034420646,"score_spread":0.2416020568946085,"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."}}