{"id":"W3183729660","doi":"10.1108/rpj-12-2020-0317","title":"Escaping Tree-Support (ET-Sup): minimizing contact points for tree-like support structures in additive manufacturing","year":2021,"lang":"en","type":"article","venue":"Rapid Prototyping Journal","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Tree (set theory); Point (geometry); Computer science; Ball (mathematics); Path (computing); Computation; Originality; Engineering drawing; Mechanical engineering; Engineering; Geometry; Mathematics; Algorithm; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008437198,0.0005180009,0.0006537475,0.0005146812,0.0003026476,0.0002765277,0.0004355828,0.0002821068,0.0004982303],"category_scores_gemma":[0.0003564954,0.0005232952,0.0003271534,0.0001833361,0.00006549769,0.0004789649,0.0001468801,0.001330556,0.000015364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002882897,"about_ca_system_score_gemma":0.0001781269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005041578,"about_ca_topic_score_gemma":0.00003434607,"domain_scores_codex":[0.9972217,0.0001384017,0.0008382616,0.0005107811,0.0003225268,0.0009682975],"domain_scores_gemma":[0.998714,0.0003943136,0.0002351104,0.0003667222,0.0001243591,0.0001655361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002147031,0.00007198556,0.0003704333,0.0004712287,0.0004559002,0.0006994293,0.001983742,0.001631013,0.003091815,0.0005736762,0.004742787,0.9856933],"study_design_scores_gemma":[0.003517568,0.0003701012,0.01507106,0.0009931243,0.00007954155,0.001258643,0.002503827,0.003591063,0.8788095,0.009550426,0.08297683,0.001278321],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8426138,0.002499674,0.1222578,0.001501203,0.003625373,0.005470914,0.0003307491,0.003550216,0.01815026],"genre_scores_gemma":[0.9655454,0.0006173983,0.03249778,0.0002557805,0.0004026423,0.0003279736,0.00008208358,0.0001478808,0.0001230451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.984415,"threshold_uncertainty_score":0.9997219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003908683140324,"score_gpt":0.2538542895197333,"score_spread":0.23381520268833,"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."}}