{"id":"W7154167183","doi":"10.1145/3772318.3809027","title":"10.1145/3772318.3809027","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Robot; Human–robot interaction; Component (thermodynamics)","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":["insufficient_payload"],"category_scores_codex":[0.001837016,0.003563886,0.002256864,0.002572547,0.00235116,0.004835409,0.002953586,0.005669849,0.9507651],"category_scores_gemma":[0.003031346,0.001890523,0.0013973,0.007299854,0.001580299,0.009307651,0.0061318,0.002638713,0.967689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002197054,"about_ca_system_score_gemma":0.001113682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01658232,"about_ca_topic_score_gemma":0.01210597,"domain_scores_codex":[0.9993461,0.0000428455,0.0000540477,0.0001988312,0.000205074,0.0001531384],"domain_scores_gemma":[0.9984152,0.0003802123,0.0000705759,0.0004906312,0.0003331368,0.0003102317],"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":[0.0002764609,0.0002113004,0.0006017053,0.0006676742,0.00004654447,0.0002577801,0.0001139487,0.0006256346,0.00146258,0.006202649,0.660071,0.3294628],"study_design_scores_gemma":[0.00003923606,0.00003038846,0.000927251,0.0002501336,0.00004180538,0.0001555233,0.00008500478,0.0007241417,0.000565311,0.001311989,0.9958352,0.00003392817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001954771,0.004620939,0.01132647,0.00120979,0.002173391,0.0003589586,0.01171853,0.01671877,0.9499184],"genre_scores_gemma":[0.003826147,0.001988067,0.001847748,0.0005781623,0.0001369203,0.0001839917,0.005941737,0.001821703,0.9836754],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04923493,"threshold_uncertainty_score":0.07022762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660710937930906,"score_gpt":0.2862933915699042,"score_spread":0.2696862821905952,"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."}}