{"id":"W4398689100","doi":"10.7910/dvn/likugt/racnhf","title":"Table5.txt","year":2018,"lang":"it","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); Psychology; Mathematics","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":[0.001936933,0.003166534,0.001915611,0.004755778,0.00143343,0.005710662,0.003587198,0.00250661,0.3203874],"category_scores_gemma":[0.01489305,0.0009031749,0.001641123,0.00870166,0.0007237952,0.002753725,0.003315923,0.002949302,0.3867717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644057,"about_ca_system_score_gemma":0.002606536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01277672,"about_ca_topic_score_gemma":0.02188559,"domain_scores_codex":[0.9984694,0.0002612889,0.0002007786,0.0005108516,0.0002796015,0.0002780758],"domain_scores_gemma":[0.994869,0.001887242,0.0004533837,0.001201148,0.0009494861,0.0006396706],"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":[0.0000269584,0.00001154479,0.0002601075,0.0002775669,0.0000133219,0.000006465292,0.0000104487,0.00007197516,0.00002388984,0.000173642,0.9982211,0.0009029676],"study_design_scores_gemma":[0.0003767448,0.00002527568,0.002178759,0.000280899,0.00003271486,0.00003800213,0.00009508686,0.0003439441,0.0002089107,0.001895975,0.9944969,0.00002679379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005962184,0.00003875219,0.00004332178,0.00009526471,0.00004331521,0.000009010888,0.9986143,0.0004736175,0.0006228029],"genre_scores_gemma":[0.0003676742,0.00005615722,0.000175232,0.00009284136,0.00002798863,0.00008555313,0.9977101,0.0002131751,0.001271306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6796126,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856691950209756,"score_gpt":0.2828516960544008,"score_spread":0.2642847765523033,"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."}}