{"id":"W2055699460","doi":"10.1145/2702123.2702508","title":"We Are Dynamo","year":2015,"lang":"en","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":274,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Science Foundation","keywords":"Collective action; Affordance; Action (physics); Public relations; Publics; Focus (optics); Political science; Sociology; Computer science; Internet privacy; Human–computer interaction; Physics; Law; Politics","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":[0.005121486,0.0006251745,0.0005952663,0.00140592,0.008231916,0.01357938,0.001648774,0.003862259,0.04101391],"category_scores_gemma":[0.01332862,0.0005988157,0.0006596001,0.00107161,0.01828323,0.02539001,0.01020438,0.006137042,0.01371133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002879002,"about_ca_system_score_gemma":0.003779564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004037734,"about_ca_topic_score_gemma":0.003803795,"domain_scores_codex":[0.9945825,0.001614549,0.0001906616,0.001512927,0.001343451,0.0007559376],"domain_scores_gemma":[0.9928462,0.001594099,0.0007279507,0.002013195,0.001268691,0.001549913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001400218,0.0001025585,0.004471121,0.0002699228,0.00005592003,0.0004765308,0.03447919,0.0004440624,0.002985734,0.733947,0.1436393,0.07898878],"study_design_scores_gemma":[0.000009435167,0.00001994379,0.0005924624,0.0001294664,0.00001199899,0.0001557749,0.006339186,0.0002771776,0.0003218655,0.09671203,0.8954017,0.00002898234],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03929863,0.004666566,0.04744047,0.1590906,0.006037005,0.0002133332,0.0005945243,0.001925713,0.7407332],"genre_scores_gemma":[0.5580972,0.003458185,0.01695878,0.05107586,0.002384104,0.000510896,0.0006353706,0.001938812,0.3649408],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04101391,"threshold_uncertainty_score":0.1372051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03379351875373135,"score_gpt":0.2387016906852385,"score_spread":0.2049081719315071,"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."}}