{"id":"W4398965750","doi":"10.7910/dvn/v1rjpf/jqx9vj","title":"cbb20170204_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001611713,0.003765323,0.002674126,0.006087676,0.001633734,0.006048929,0.005666133,0.004273665,0.3468659],"category_scores_gemma":[0.0114078,0.001392025,0.001887035,0.01098408,0.0009507227,0.00344615,0.004355426,0.002773978,0.3988504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00268862,"about_ca_system_score_gemma":0.003276675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04504883,"about_ca_topic_score_gemma":0.06043528,"domain_scores_codex":[0.9986287,0.0002685908,0.000123965,0.0004310045,0.0002582365,0.0002896075],"domain_scores_gemma":[0.9959449,0.001247475,0.0003126215,0.0009793653,0.001003164,0.0005124692],"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":[0.00003287557,0.000007035639,0.0001427864,0.0004407855,0.0000161062,0.00000611173,0.00001319751,0.00009013823,0.00003711485,0.0003423688,0.9983277,0.0005438533],"study_design_scores_gemma":[0.000315823,0.00001517479,0.001147562,0.0003991841,0.00002692043,0.00002333754,0.00006988798,0.0002418522,0.00020088,0.00181219,0.995712,0.00003504763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002258678,0.00004348346,0.00002446204,0.00007408929,0.0000250077,0.000004385446,0.9988145,0.0003912551,0.0006003554],"genre_scores_gemma":[0.0001895275,0.00005562233,0.0001205389,0.0000901782,0.00001279558,0.00004723803,0.9984427,0.000249552,0.0007917365],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6531341,"threshold_uncertainty_score":0.9316165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615539315024945,"score_gpt":0.2578339412432182,"score_spread":0.2316785480929687,"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."}}