{"id":"W4404296940","doi":"10.29173/cjen431","title":"Jigsaw puzzle","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Nursing","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Jigsaw; Computer science; Mathematics education; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001850258,0.00006981134,0.00009537482,0.0002760044,0.0002265045,0.00004142636,0.0004401787,0.00003812986,0.0002476639],"category_scores_gemma":[0.0000410632,0.00006637205,0.00007249674,0.0002836988,0.00004497683,0.0006815256,0.000003798256,0.0001447597,0.00001517293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007394374,"about_ca_system_score_gemma":0.0007115496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005414842,"about_ca_topic_score_gemma":0.0009361368,"domain_scores_codex":[0.999268,0.00002740807,0.0002747,0.00009373184,0.00009217123,0.000243974],"domain_scores_gemma":[0.9991111,0.000003234226,0.0001715846,0.0001372079,0.0002069056,0.0003699685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005018609,0.00003624633,0.007165964,0.00001617801,0.00003207451,0.0001817186,0.01398633,0.00001294279,0.0004680194,0.01414982,0.01871872,0.945227],"study_design_scores_gemma":[0.003137882,0.001836356,0.1062315,0.004238956,0.0003688768,0.02025258,0.007244552,0.02139378,0.06569554,0.6382071,0.1274051,0.003987746],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06620477,0.00570904,0.7647284,0.00167184,0.03469909,0.00007657928,0.000001878834,0.00004638532,0.1268621],"genre_scores_gemma":[0.9574532,0.00001786278,0.04202233,0.00002895332,0.0002189759,2.200335e-7,1.246948e-7,0.000006710193,0.0002516366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9412392,"threshold_uncertainty_score":0.2711746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05030549443578888,"score_gpt":0.2539669223352533,"score_spread":0.2036614278994644,"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."}}