{"id":"W1969706979","doi":"10.7490/f1000research.1093388.1","title":"Convexity as a cue to figure-ground segmentation in children","year":2013,"lang":"en","type":"article","venue":"","topic":"Psychological Testing and Assessment","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Open peer review; Plant biology; Convexity; Figure–ground; Segmentation; Neuroscience; Artificial intelligence; Biology; Physiology; Medicine; Psychology; Cognitive psychology; Computer science; Economics; Botany","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006850577,0.0004703794,0.0008107299,0.0007495522,0.0006797976,0.002637408,0.0006690628,0.001160092,0.007592345],"category_scores_gemma":[0.01310987,0.0008174579,0.0004332345,0.0005858958,0.001524935,0.002428709,0.001794849,0.00140431,0.0007099271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008147772,"about_ca_system_score_gemma":0.00129475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007807388,"about_ca_topic_score_gemma":0.01017098,"domain_scores_codex":[0.9991546,0.0001376572,0.00004475459,0.0002234865,0.0002576343,0.0001818767],"domain_scores_gemma":[0.9930027,0.003512173,0.001631881,0.0007290374,0.0006084833,0.0005157447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00449837,0.0003284077,0.2606049,0.0008459968,0.0001606266,0.005238933,0.01045746,0.01313813,0.4956591,0.04377228,0.005048309,0.1602475],"study_design_scores_gemma":[0.00009457859,0.0008232876,0.8532616,0.0003106858,0.0001665788,0.00294291,0.005915388,0.01684456,0.08899219,0.02395061,0.006551624,0.0001459499],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757504,0.0002502859,0.005850304,0.0002717903,0.00003565721,0.00001818473,0.0002361515,0.0002184046,0.01736877],"genre_scores_gemma":[0.99428,0.0001208146,0.004255048,0.0000435727,0.00001009606,0.00001262525,0.0002184356,0.0002789484,0.0007804802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007807388,"threshold_uncertainty_score":0.02539897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03859532857695373,"score_gpt":0.3800260120233441,"score_spread":0.3414306834463904,"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."}}