{"id":"W7154112102","doi":"10.1145/3772318.3809005","title":"10.1145/3772318.3809005","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); Component (thermodynamics); Session key; Key (lock)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006888346,0.00009525482,0.0001208829,0.00005680308,0.00006917128,0.00002661037,0.0001400598,0.00008155623,0.9998009],"category_scores_gemma":[0.00001767417,0.00009944466,0.00006906151,0.0001401298,0.00002055074,0.00004752951,0.00001292891,0.0001116872,0.998918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000292758,"about_ca_system_score_gemma":0.00001019289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008420213,"about_ca_topic_score_gemma":5.505504e-7,"domain_scores_codex":[0.999293,0.0000524067,0.0001388981,0.0001919622,0.00009694889,0.0002267317],"domain_scores_gemma":[0.999545,0.00005483086,0.00002221699,0.0002307603,0.00002728092,0.0001198753],"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":[0.000093385,0.00005220776,4.509289e-7,4.391378e-7,0.00001893584,0.00000498626,0.0001492026,0.000005245754,0.00001563695,0.0000289465,0.5456654,0.4539652],"study_design_scores_gemma":[0.0002336756,0.00009377513,0.0003901177,0.00000415359,0.000009574404,0.0000104123,0.00001241785,0.000008964948,0.00001084969,0.00001237105,0.9990953,0.0001183765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001197446,0.00002869882,0.000001148056,0.001026168,0.00003379424,0.0001139545,0.000006091467,0.0001650951,0.9974276],"genre_scores_gemma":[0.001081266,1.469619e-7,0.00003249903,0.0006646308,0.000359419,0.00002687717,0.00000869715,0.00002170746,0.9978048],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4538468,"threshold_uncertainty_score":0.4055235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614335366705188,"score_gpt":0.2859189817416062,"score_spread":0.2697756280745543,"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."}}