{"id":"W7034807221","doi":"","title":"Zuckerberg Facebook post and photo about AMBER Alerts on Facebook","year":2015,"lang":"en","type":"article","venue":"e-Publications@Marquette (Marquette University)","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Launched; Social media; Data collection; The Internet","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002172284,0.0007940612,0.0004166636,0.000875029,0.002357318,0.001796155,0.0003994221,0.00113704,0.7935187],"category_scores_gemma":[0.001363975,0.0003247475,0.0002106164,0.0005455363,0.0002699531,0.002113892,0.001555672,0.001146873,0.6299314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006507731,"about_ca_system_score_gemma":0.0005159953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009149262,"about_ca_topic_score_gemma":0.03292177,"domain_scores_codex":[0.9998504,0.00001299685,0.000004080405,0.00002030325,0.0000654296,0.00004682982],"domain_scores_gemma":[0.9991269,0.0001109446,0.00004149383,0.00005097194,0.0002987929,0.000370941],"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":[0.00002390692,0.00001760189,0.0001300722,0.00002450176,7.501837e-7,0.0000390728,0.00004142386,0.000009386812,0.0001977574,0.0004270335,0.9821497,0.01693879],"study_design_scores_gemma":[0.000005461533,0.00001171934,0.0008558936,0.00004058502,0.000001513609,0.00004342853,0.0001580385,0.0000570817,0.0001841471,0.0001805104,0.9984549,0.000006613291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001737397,0.0007078737,0.0006217388,0.002799161,0.002022967,0.0001295466,0.005011827,0.003076963,0.9838926],"genre_scores_gemma":[0.00321657,0.0004366068,0.0003836708,0.0006273137,0.0002123974,0.00004160886,0.001800142,0.0004597968,0.9928218],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7935187,"threshold_uncertainty_score":0.2945204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167416416317325,"score_gpt":0.2166104711167985,"score_spread":0.1949363069536252,"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."}}