{"id":"W4398424292","doi":"10.7910/dvn/phwtp6/rspkru","title":"blc20161018_03.txt","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":[0.001809808,0.003474383,0.002640018,0.006042153,0.001341296,0.005675045,0.005270726,0.003794183,0.3839969],"category_scores_gemma":[0.01330491,0.001355662,0.00187515,0.01169778,0.0008649753,0.003406999,0.004038718,0.002645885,0.4187728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002405993,"about_ca_system_score_gemma":0.003252021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03714716,"about_ca_topic_score_gemma":0.05287731,"domain_scores_codex":[0.9984097,0.0003228914,0.0001617673,0.0004745707,0.0003029468,0.0003280735],"domain_scores_gemma":[0.9950949,0.001610515,0.000414907,0.00113792,0.001185007,0.0005566825],"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":[0.00002538263,0.000005380957,0.0001130429,0.000359366,0.00001437722,0.000004617754,0.000009249597,0.00008107739,0.00002237277,0.0002657074,0.9985557,0.0005436135],"study_design_scores_gemma":[0.0002932058,0.00001558618,0.001119629,0.0004118898,0.00002854039,0.00002303963,0.0000611177,0.0002413044,0.0001714806,0.001941967,0.9956572,0.00003496648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001738584,0.00003726978,0.00002294216,0.00007308686,0.00002406912,0.000003930159,0.9989724,0.0003250751,0.0005238285],"genre_scores_gemma":[0.0001727494,0.00005510315,0.0001081349,0.0000916936,0.00001579008,0.00004909386,0.998428,0.0002289855,0.0008503491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.616003,"threshold_uncertainty_score":0.8786536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445106915478842,"score_gpt":0.2534228565702524,"score_spread":0.228971787415464,"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."}}