{"id":"W7096013504","doi":"","title":"and Student–Teacher Relationships Matter for Academic Achievement? A Multilevel Analysis","year":2016,"lang":"en","type":"article","venue":"","topic":"Agricultural Research and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multilevel model; Social connectedness; Multilevel modelling; Affect (linguistics); School climate; Relation (database); Academic achievement; Social relation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005034491,0.000390661,0.001021055,0.001905267,0.001863435,0.00268997,0.001348772,0.001006364,0.007061468],"category_scores_gemma":[0.01523703,0.0004000846,0.003233505,0.002848221,0.000952355,0.001627338,0.002509065,0.001863141,0.0004539534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602248,"about_ca_system_score_gemma":0.002616796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.150287,"about_ca_topic_score_gemma":0.1502414,"domain_scores_codex":[0.9933004,0.003071753,0.0003690934,0.001131937,0.0007301855,0.00139649],"domain_scores_gemma":[0.9873729,0.005293952,0.002470292,0.002192868,0.001127577,0.001542374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006721322,0.00006653153,0.9926871,0.00002925199,0.001119403,0.00005786747,0.0007835501,0.0001622773,0.0001171462,0.000531869,0.000362602,0.004015238],"study_design_scores_gemma":[0.00001180096,0.0001346259,0.9938724,0.00006682923,0.0006211956,0.00003869502,0.001775999,0.001786834,0.00008801811,0.0005656347,0.001021993,0.00001596427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896396,0.001009593,0.002664509,0.001399101,0.00005145264,0.00008159859,0.001766352,0.00004880264,0.003339035],"genre_scores_gemma":[0.9978922,0.0001442444,0.0008365979,0.00007125943,0.00001970073,0.00006020857,0.0004106019,0.00001246871,0.0005527197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.150287,"threshold_uncertainty_score":0.2988245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100290351767892,"score_gpt":0.344528248825662,"score_spread":0.24423789705777,"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."}}