{"id":"W4398687254","doi":"10.7910/dvn/likugt/gyegjy","title":"Figure1.gph","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Field (mathematics); Computer science; Data 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":[],"category_scores_codex":[0.001328401,0.002799681,0.001209893,0.004578,0.0009146389,0.002977624,0.002792585,0.002185983,0.1809465],"category_scores_gemma":[0.00925654,0.0007141777,0.001613199,0.00664549,0.0007127023,0.001766316,0.002573667,0.002250521,0.1880186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192307,"about_ca_system_score_gemma":0.001995743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01801731,"about_ca_topic_score_gemma":0.03167329,"domain_scores_codex":[0.9989377,0.0001880884,0.00008401843,0.0004067462,0.0002148178,0.000168619],"domain_scores_gemma":[0.9974769,0.0009102267,0.0001450055,0.0006974486,0.0004703777,0.0003000544],"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":[0.00006388302,0.00001876843,0.0006007222,0.0003810656,0.00002542727,0.00001506588,0.00001848296,0.0001990249,0.0000775879,0.0002067831,0.9960302,0.002362977],"study_design_scores_gemma":[0.0005066835,0.00005557206,0.004003883,0.0002853761,0.00006119133,0.00009112978,0.0001190135,0.0008006922,0.0003968391,0.002183523,0.9914637,0.00003239002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002784349,0.000134559,0.000125709,0.0001282688,0.00006244038,0.000023073,0.9970993,0.001149516,0.0009986665],"genre_scores_gemma":[0.0008717048,0.00009232646,0.0003497938,0.0001095175,0.00002044684,0.0001201313,0.9968412,0.0002084484,0.001386297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8190535,"threshold_uncertainty_score":0.6053263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867716965901278,"score_gpt":0.2925837183605627,"score_spread":0.27390654870155,"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."}}