{"id":"W7056479381","doi":"","title":"Emotional ramifications of adoption reunion : is there a predictable pattern of response?","year":2002,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Public sector; Private sector; Affect (linguistics); Public policy","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":[0.003297437,0.0001335925,0.0002521252,0.0005952108,0.0005665886,0.0009214213,0.0003286833,0.0006058638,0.001889499],"category_scores_gemma":[0.02089165,0.0002137968,0.0002777432,0.0004089274,0.0005894576,0.0006823764,0.0007386421,0.0008503777,0.0002671505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004223637,"about_ca_system_score_gemma":0.0003745183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515631,"about_ca_topic_score_gemma":0.002513041,"domain_scores_codex":[0.9976609,0.001152816,0.000169954,0.0001857622,0.0005475469,0.0002830129],"domain_scores_gemma":[0.9840187,0.006693052,0.00628232,0.0006432292,0.001481395,0.0008812576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001464229,0.0001681293,0.9711779,0.0000452912,0.00004255242,0.0002039341,0.009324133,0.0000396925,0.0006332016,0.00008530705,0.0002324149,0.01790104],"study_design_scores_gemma":[0.000002503051,0.0001854467,0.9844418,0.00001951751,0.00001045185,0.0001854555,0.01449133,0.00005461958,0.0001526693,0.00004664083,0.0004011038,0.000008515518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986141,0.000086073,0.0001813157,0.0002156231,0.000009669168,0.00001005892,0.00003162921,0.000002765905,0.0008488016],"genre_scores_gemma":[0.9993674,0.0001112297,0.0001091305,0.00009320547,0.000009432101,0.00002563344,0.00005209758,0.000002570049,0.0002292947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003297437,"threshold_uncertainty_score":0.01743871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307113137007268,"score_gpt":0.2699668947566796,"score_spread":0.2392555810559528,"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."}}