{"id":"W6923192440","doi":"10.1371/journal.pone.0146915.g004","title":"Spatial extents of the five largest sociospatial network components.","year":2016,"lang":"en","type":"other","venue":"Figshare","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); Component (thermodynamics); Base (topology); Layer (electronics); Relation (database); Column (typography)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001102098,0.0001220715,0.0001897284,0.00003647177,0.0001988852,0.00001930845,0.0006894005,0.0003793917,0.4389223],"category_scores_gemma":[0.001081254,0.00007865219,0.0001166081,0.0001095543,0.00009163799,0.00002141433,0.000179584,0.0001594394,0.0009904573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004220551,"about_ca_system_score_gemma":0.0001875781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001933051,"about_ca_topic_score_gemma":0.002262292,"domain_scores_codex":[0.9989276,0.0002189985,0.0001326788,0.0001731818,0.0003107096,0.0002368481],"domain_scores_gemma":[0.9990324,0.0001778628,0.0003844666,0.0003055041,0.00006495447,0.00003479021],"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":[6.890534e-7,0.00001415914,0.0003446889,0.00002566599,0.00001703157,2.60799e-7,0.0001987122,1.697651e-7,0.000001063247,0.0006024052,0.9928179,0.005977289],"study_design_scores_gemma":[0.0000727369,0.000004482569,0.002351104,0.001521177,0.000007569567,5.635944e-8,0.0001248828,6.118764e-7,0.00001484301,0.0006867161,0.9951093,0.0001064812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001551735,0.0007992995,0.00001393363,0.001559906,0.001697765,0.000697859,0.1254468,0.0002953294,0.8694736],"genre_scores_gemma":[0.004558398,0.0001223827,0.000762841,0.0001855578,0.003627722,0.0001792514,0.007402979,0.0001818125,0.9829791],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4379319,"threshold_uncertainty_score":0.9997874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06513873810006693,"score_gpt":0.3603912428417521,"score_spread":0.2952525047416851,"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."}}