{"id":"W7028271189","doi":"","title":"EXP Share Podcast # 4 50 Ways To Kill Your Kangaskhan","year":2014,"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":"Battle; Mega-; Fair share; Market share; Looming; Tournament; Asset (computer security)","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":[0.0002371878,0.0006005744,0.0002623464,0.0006192709,0.001873362,0.003706073,0.0006549488,0.001300724,0.8159837],"category_scores_gemma":[0.001066876,0.0002841839,0.0003261903,0.0006921016,0.0003272668,0.002580455,0.002816802,0.001519987,0.624207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040063,"about_ca_system_score_gemma":0.0008545483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007362106,"about_ca_topic_score_gemma":0.02858483,"domain_scores_codex":[0.999782,0.00001306679,0.00000487678,0.0000218634,0.0001117794,0.00006642305],"domain_scores_gemma":[0.9993894,0.00004784186,0.00002331956,0.00006985596,0.0001552683,0.0003143133],"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":[0.00002120008,0.00001986489,0.0001056412,0.00002532859,7.682711e-7,0.00004832177,0.00003716151,0.0000163643,0.0001682165,0.0009122049,0.988188,0.01045707],"study_design_scores_gemma":[0.000004998943,0.000009389114,0.0004923827,0.000014725,6.407068e-7,0.00002062353,0.000086921,0.00001966618,0.0001234326,0.0001773985,0.9990465,0.000003291331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005952072,0.0001421966,0.0001501569,0.0006266391,0.0007365636,0.00004617522,0.00203527,0.0007272337,0.9949406],"genre_scores_gemma":[0.001903828,0.0001023384,0.00005434646,0.0002396369,0.0001048394,0.00001871516,0.00104605,0.000373582,0.9961568],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8159837,"threshold_uncertainty_score":0.2624769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195037334693254,"score_gpt":0.2026352368842116,"score_spread":0.190684863537279,"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."}}