{"id":"W4229541287","doi":"10.14322/publons.r792557","title":"10.14322/publons.r792557","year":2000,"lang":"en","type":"dataset","venue":"Time to knit","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Flywheel; Propeller; Pendulum; Engineering; Computer science; Mechanical engineering; Marine engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001127692,0.00458602,0.00181785,0.003627794,0.0009283689,0.003007351,0.00406883,0.003058669,0.1624469],"category_scores_gemma":[0.004114847,0.001018175,0.001563655,0.005483194,0.0008019327,0.001647109,0.002746749,0.001638936,0.4246128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614904,"about_ca_system_score_gemma":0.001613708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01879646,"about_ca_topic_score_gemma":0.03061846,"domain_scores_codex":[0.9987118,0.0001706115,0.0001334272,0.0004243701,0.0003036083,0.0002561876],"domain_scores_gemma":[0.9985045,0.0002281278,0.0001396258,0.0005411346,0.0003343239,0.000252307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008531809,0.00004108198,0.0003951313,0.0005409235,0.00002056035,0.00002094807,0.00001785144,0.0003683245,0.0002047506,0.000251985,0.9933062,0.004746897],"study_design_scores_gemma":[0.0003527472,0.00008952943,0.002420248,0.0002608022,0.00003482108,0.000108628,0.0001031771,0.00180345,0.00132623,0.00107324,0.9923786,0.00004863751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004030007,0.0001860769,0.0002591137,0.0001208957,0.0001032395,0.0000408147,0.9932159,0.003254749,0.002416212],"genre_scores_gemma":[0.0005512704,0.00008085739,0.0003541968,0.0000643483,0.00001516229,0.00006452215,0.9966367,0.0001758837,0.002056957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8375531,"threshold_uncertainty_score":0.5434389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006137398354562121,"score_gpt":0.170950564422399,"score_spread":0.1648131660678369,"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."}}