{"id":"W4398918910","doi":"10.7910/dvn/q20fb7/jpsy5o","title":"analysis.Rmd","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Replication (statistics); Computer science; Computational biology; Biology; Virology","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":[0.003964785,0.003701338,0.002130133,0.006423186,0.001563401,0.004014575,0.003837163,0.002178088,0.5078029],"category_scores_gemma":[0.02528434,0.001788111,0.003266425,0.007676158,0.0009119487,0.002243771,0.003097102,0.002680584,0.3614151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599986,"about_ca_system_score_gemma":0.004963369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01645575,"about_ca_topic_score_gemma":0.02460344,"domain_scores_codex":[0.9971496,0.0005023917,0.0004097149,0.0008362976,0.0005970437,0.0005048341],"domain_scores_gemma":[0.9823164,0.007065764,0.001360681,0.004763863,0.003430405,0.001062852],"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":[0.00006426422,0.00002623746,0.0005564603,0.0006118717,0.00003215131,0.00000814581,0.00002492898,0.0001097163,0.00006391712,0.0002460259,0.9965445,0.001711723],"study_design_scores_gemma":[0.00131926,0.00008511874,0.005065105,0.0006390387,0.0001289812,0.00005027694,0.0002319485,0.0005313887,0.0007239475,0.003844088,0.9872894,0.00009149709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005347568,0.00001034887,0.0000932202,0.00003675947,0.00003009384,0.00003882152,0.9988393,0.0004421427,0.000455765],"genre_scores_gemma":[0.0007210125,0.00004405324,0.001339427,0.0001660406,0.00003884479,0.0009354423,0.9926473,0.001114668,0.002993321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4921971,"threshold_uncertainty_score":0.7020594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135747886067848,"score_gpt":0.2378110926025422,"score_spread":0.2242363039957574,"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."}}