{"id":"W7030801696","doi":"","title":"Screaming Beavers","year":2022,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"White (mutation); Government (linguistics); Screaming; Headline; Boycott; Photojournalism; Quality (philosophy); Freedom of information; Trophy","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":[0.002481854,0.002078261,0.001007982,0.001837747,0.01982435,0.006967971,0.001876144,0.007115163,0.1532606],"category_scores_gemma":[0.01544254,0.0007719719,0.001031329,0.0009041671,0.006692144,0.009242849,0.01134856,0.01395953,0.06158792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002487079,"about_ca_system_score_gemma":0.002690135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009456225,"about_ca_topic_score_gemma":0.02274962,"domain_scores_codex":[0.9962389,0.001163397,0.00008707433,0.0004159326,0.0007925456,0.001302216],"domain_scores_gemma":[0.9950674,0.0006299057,0.0002960035,0.0002819127,0.001173066,0.002551762],"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":[0.00003046846,0.00004304108,0.0006667299,0.00004925825,0.000007369073,0.001851356,0.01250587,0.00002073315,0.0001653859,0.005738269,0.9549956,0.0239258],"study_design_scores_gemma":[0.000005879416,0.00003046801,0.0003878456,0.0002286513,0.000005225148,0.00213858,0.03679711,0.00004572782,0.00008748428,0.002466406,0.9577805,0.00002617322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02497338,0.01040148,0.006354764,0.3332373,0.06990664,0.0003026744,0.0005759709,0.002746695,0.551501],"genre_scores_gemma":[0.09335624,0.004582536,0.002229378,0.1397372,0.005608812,0.0001965007,0.0003222951,0.001711599,0.7522555],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1532606,"threshold_uncertainty_score":0.5127078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050804465338686,"score_gpt":0.224549354127194,"score_spread":0.2140413094738071,"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."}}