{"id":"W6977549073","doi":"10.7939/dvn/psdjjg","title":"Confidently identifying K = 2","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Set (abstract data type); Sequence (biology); Identification (biology); Term (time); Class (philosophy)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002399647,0.001845575,0.001520246,0.003252266,0.001376805,0.003737561,0.0021661,0.002739514,0.117248],"category_scores_gemma":[0.01736438,0.0007753264,0.001708113,0.003844233,0.0006972293,0.002622491,0.002053731,0.002008898,0.1431329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074524,"about_ca_system_score_gemma":0.002641247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244891,"about_ca_topic_score_gemma":0.02250923,"domain_scores_codex":[0.997654,0.0002386803,0.0002710353,0.001008356,0.0004235728,0.0004043613],"domain_scores_gemma":[0.9921307,0.002444034,0.0005682431,0.002854503,0.001626993,0.0003755103],"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":[0.0001837149,0.00002139688,0.004965854,0.0005646025,0.00004631,0.00004629089,0.00003367271,0.0003921999,0.0003078054,0.00119928,0.9855802,0.006658664],"study_design_scores_gemma":[0.0002629041,0.00002776477,0.00867536,0.0003941816,0.00007505488,0.000185037,0.0001328738,0.001139801,0.001251008,0.005402648,0.9823906,0.0000627253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009327041,0.0002218406,0.0005571202,0.0002182888,0.0003309906,0.00002544845,0.9928235,0.001448893,0.003441239],"genre_scores_gemma":[0.003843751,0.0001610973,0.001771728,0.0002775305,0.00008229529,0.00009255611,0.9902021,0.0004561299,0.003112925],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.117248,"threshold_uncertainty_score":0.3922337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04739521807728215,"score_gpt":0.3110854545741328,"score_spread":0.2636902364968507,"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."}}