{"id":"W7017760742","doi":"","title":"Bleep - Datenbergbau [csr042]","year":2004,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Politics; Photography; Noise (video); Distortion (music)","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":["insufficient_payload"],"category_scores_codex":[0.000834153,0.001142207,0.0005566131,0.002153447,0.002515095,0.005072928,0.00131595,0.001711863,0.4295764],"category_scores_gemma":[0.003565523,0.0009370562,0.0003946631,0.003278636,0.0006455542,0.00407801,0.002701612,0.001815352,0.3130966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002108648,"about_ca_system_score_gemma":0.002689466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06947662,"about_ca_topic_score_gemma":0.1348065,"domain_scores_codex":[0.9990032,0.00009802796,0.00004004017,0.0001320015,0.0005629127,0.0001638383],"domain_scores_gemma":[0.9986001,0.0001359087,0.00004118765,0.0003218516,0.0006663983,0.0002345413],"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":[0.00006195453,0.00001580937,0.000133688,0.00009338321,0.000003616563,0.00007872275,0.0001966337,0.0001012175,0.0008280153,0.007466497,0.9177628,0.07325765],"study_design_scores_gemma":[0.000004990829,0.000006006086,0.000226217,0.0000364515,0.000001470732,0.00004921161,0.00005049109,0.00009865905,0.0004478267,0.000407183,0.9986622,0.000009231151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001447372,0.001295997,0.01119492,0.001224553,0.0009711356,0.000274264,0.01162118,0.01393905,0.9580316],"genre_scores_gemma":[0.006341611,0.0008406747,0.004807764,0.0003106504,0.0001299794,0.00008655638,0.00915505,0.006109012,0.9722187],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5704236,"threshold_uncertainty_score":0.81364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006389370103218192,"score_gpt":0.1887584331460083,"score_spread":0.1823690630427901,"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."}}