{"id":"W2684481693","doi":"10.2139/ssrn.2988949","title":"Do the Number of Appropriators from the Commons Matter in Controlled Laboratory Environments?","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; McMaster University; York University","funders":"","keywords":"Commons; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002594618,0.0001365826,0.0002490117,0.00002349572,0.0006819833,0.0003841267,0.001834895,0.00005942014,0.00002879681],"category_scores_gemma":[0.00008117429,0.00007338612,0.0001164376,0.00006877909,0.0001784024,0.0002489935,0.000211052,0.001351686,0.0000612713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001810933,"about_ca_system_score_gemma":0.0004160313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002789152,"about_ca_topic_score_gemma":0.0003453481,"domain_scores_codex":[0.9979238,0.0003239847,0.0003251108,0.0001954214,0.0003030386,0.0009286437],"domain_scores_gemma":[0.9981455,0.0002367808,0.000446335,0.001107829,0.00002427287,0.00003933419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000228472,0.000296387,0.7347252,0.000004817339,0.0006694873,0.00002345892,0.004454844,0.0003339876,0.004002092,0.2236792,0.001355787,0.03022624],"study_design_scores_gemma":[0.01611908,0.0001779018,0.4311634,0.0002425632,0.0001863718,0.0003753633,0.005627881,0.005921419,0.002056211,0.5268987,0.010288,0.0009430964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722588,0.001005258,0.01915493,0.005730139,0.0003049796,0.0001889074,0.000002412618,0.000009100676,0.001345495],"genre_scores_gemma":[0.9990728,0.0001546862,0.0001261978,0.0002759837,0.0001414494,0.000007073495,2.572526e-7,0.00001116723,0.0002104051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3035619,"threshold_uncertainty_score":0.5872479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005747080922318408,"score_gpt":0.2258725431167764,"score_spread":0.220125462194458,"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."}}