{"id":"W2605476211","doi":"10.1177/2165143417698123","title":"Partnership Bound: Using MAPS With Transitioning Students and Families From All Backgrounds","year":2017,"lang":"en","type":"article","venue":"Career Development and Transition for Exceptional Individuals","topic":"Family and Disability Support Research","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Immigration; Action (physics); Psychology; Refugee; Process (computing); Work (physics); Pedagogy; Action plan; Mathematics education; Medical education; Computer science; Management; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005599643,0.0002203072,0.0002436981,0.0001090896,0.001048593,0.0005110751,0.0001930599,0.0001509086,0.00031065],"category_scores_gemma":[0.000009900605,0.0002057264,0.0000512687,0.00003766598,0.0004389344,0.000430887,0.00003704701,0.0001391905,0.00001395025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000488668,"about_ca_system_score_gemma":0.0000890943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001874174,"about_ca_topic_score_gemma":0.0001785622,"domain_scores_codex":[0.9982778,0.00006480788,0.0002863916,0.0005000628,0.0005043284,0.0003666077],"domain_scores_gemma":[0.999265,0.0001375155,0.00008429212,0.0002180035,0.0001196602,0.0001755427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007235148,0.0004681373,0.9029583,0.000189633,0.001390518,0.00003225882,0.07651367,0.00001661555,0.0008099314,0.004668341,0.001305509,0.01092362],"study_design_scores_gemma":[0.003297587,0.0001341506,0.9712856,0.0001079224,0.0001333048,0.00002214753,0.01572011,0.00001330074,0.0002282714,0.003178782,0.005480117,0.0003986576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99453,0.0001788555,0.002794414,0.0005296973,0.0001135237,0.0004720184,0.0003425863,0.00003217649,0.001006735],"genre_scores_gemma":[0.9937528,0.00001073506,0.003805397,0.0003502117,0.0001117832,0.0001667196,0.001500354,0.00002282921,0.0002791563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0683274,"threshold_uncertainty_score":0.8389278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1945574491770194,"score_gpt":0.3940656904251365,"score_spread":0.1995082412481171,"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."}}