{"id":"W4398376059","doi":"10.7910/dvn/phwtp6/65e5aq","title":"blc20171107_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":[0.001764342,0.003596686,0.002643949,0.005951568,0.001396013,0.005532627,0.005323419,0.00384054,0.376932],"category_scores_gemma":[0.01237482,0.001380862,0.001891388,0.01140454,0.0008814185,0.003335778,0.003953846,0.002694245,0.4252782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002399286,"about_ca_system_score_gemma":0.003222235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03650748,"about_ca_topic_score_gemma":0.05131556,"domain_scores_codex":[0.9984319,0.0003105403,0.0001523891,0.0004752055,0.0002982834,0.0003317787],"domain_scores_gemma":[0.9953754,0.001480197,0.0003745173,0.001119745,0.001121422,0.0005286819],"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":[0.00002476496,0.000005596622,0.0001093339,0.0003205351,0.00001386765,0.000004559895,0.000008724106,0.00008159856,0.00002367016,0.0002484611,0.9986385,0.0005205316],"study_design_scores_gemma":[0.0002965962,0.00001618127,0.001137267,0.0003696438,0.00002781614,0.00002386394,0.0000592614,0.0002549101,0.0001878142,0.001863888,0.9957278,0.00003507471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001886981,0.00003769107,0.00002403354,0.00007278648,0.00002478925,0.000003960498,0.9989243,0.0003607238,0.00053284],"genre_scores_gemma":[0.0001686901,0.00005128688,0.0001046328,0.00008672909,0.0000150288,0.00004544429,0.9984763,0.0002261449,0.0008258095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.623068,"threshold_uncertainty_score":0.8887308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.026944244205097,"score_gpt":0.2574329914110356,"score_spread":0.2304887472059386,"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."}}