{"id":"W6930230448","doi":"10.5281/zenodo.12359983","title":"The long tail pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Long tail; Boom; Product (mathematics); Supply and demand; Mainstream; Niche market; Service (business); Entertainment","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":[0.002061874,0.001380428,0.001562436,0.006266187,0.002692021,0.01412046,0.002031899,0.002484334,0.8506513],"category_scores_gemma":[0.01710838,0.001178014,0.001325983,0.01148425,0.0008637054,0.008757942,0.005808545,0.003339334,0.8618177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425234,"about_ca_system_score_gemma":0.002151823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004480836,"about_ca_topic_score_gemma":0.00587588,"domain_scores_codex":[0.9977741,0.0002596181,0.0001490844,0.0003532335,0.001112285,0.0003517732],"domain_scores_gemma":[0.986167,0.00253899,0.0006352784,0.003721513,0.004726016,0.002211183],"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":[0.00001474645,0.00001143133,0.0001357593,0.00005672571,0.00000267992,0.00001186163,0.00001595877,0.00003189708,0.00005323006,0.0008365077,0.9783508,0.02047839],"study_design_scores_gemma":[0.000008007584,0.000007483774,0.0005699605,0.00005958894,0.00000175431,0.00003286477,0.00003370049,0.00005095483,0.0001191426,0.0008872725,0.9982185,0.00001082731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001097893,0.001406371,0.004679631,0.005803343,0.005810545,0.0003389621,0.1843932,0.02314395,0.7733262],"genre_scores_gemma":[0.005028267,0.001343452,0.003471965,0.003669077,0.002031465,0.0003767067,0.1135464,0.01449776,0.8560349],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1493487,"threshold_uncertainty_score":0.2130278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797007975352159,"score_gpt":0.2271116375433886,"score_spread":0.209141557789867,"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."}}