{"id":"W3098950550","doi":"10.1061/9780784482865.102","title":"Conceptual Framework for Safety Improvement in Mobile Cranes","year":2020,"lang":"en","type":"article","venue":"Construction Research Congress 2020","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Operator (biology); Computer science; Communications system; Engineering; Systems engineering; Telecommunications","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":[0.003427742,0.001394397,0.0004326249,0.002066532,0.002295628,0.005782236,0.003925906,0.004048418,0.01155935],"category_scores_gemma":[0.002666156,0.0005729973,0.001336959,0.001151633,0.009069275,0.007097652,0.004923115,0.002902061,0.002544393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003877155,"about_ca_system_score_gemma":0.004410835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008418238,"about_ca_topic_score_gemma":0.005424054,"domain_scores_codex":[0.9975762,0.0008905742,0.0001390341,0.0003932387,0.0006928185,0.0003081489],"domain_scores_gemma":[0.9985623,0.0004486304,0.0001595652,0.0001383321,0.0004813482,0.0002098487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005681899,0.00002335422,0.0001199245,0.00009610772,0.00000503062,0.0001623699,0.0009134336,0.004832628,0.0003345151,0.9871394,0.0007851842,0.005582402],"study_design_scores_gemma":[0.00004225711,0.0001845368,0.0003723633,0.0006407128,0.00003600131,0.0004788506,0.003306305,0.05366271,0.001153049,0.6958203,0.2442364,0.00006647356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006300519,0.001790574,0.8452232,0.00473335,0.0004205827,0.000371777,0.000120888,0.0003739937,0.140665],"genre_scores_gemma":[0.3810486,0.004014939,0.5588979,0.001200898,0.00047418,0.001387131,0.000400003,0.000225594,0.05235079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01155935,"threshold_uncertainty_score":0.03866982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06371021152906624,"score_gpt":0.3568763971904934,"score_spread":0.2931661856614271,"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."}}