{"id":"W6887711412","doi":"10.17605/osf.io/2n5jc","title":"Knowledgeable Hinderers of Hinderers (May 2016)","year":2016,"lang":"en","type":"other","venue":"Open Science Framework","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Work (physics); Perspective (graphical); Set (abstract data type); Identification (biology); Government (linguistics)","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":[0.007254812,0.0004950426,0.0003031144,0.002563375,0.003335,0.009291951,0.001194685,0.005483756,0.039357],"category_scores_gemma":[0.01371184,0.0003208922,0.0007281146,0.002039838,0.002993759,0.00445625,0.004624252,0.003389598,0.006853611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005416036,"about_ca_system_score_gemma":0.0167759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05195386,"about_ca_topic_score_gemma":0.1012656,"domain_scores_codex":[0.9957332,0.001090853,0.0002783026,0.000373069,0.001917968,0.0006066328],"domain_scores_gemma":[0.9942596,0.001890668,0.000534154,0.0005414489,0.001756007,0.001018047],"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":[0.00008239986,0.0001699239,0.002288782,0.0003661809,0.00001373935,0.0003001572,0.005757456,0.0004506981,0.0003550244,0.4692488,0.4254725,0.09549438],"study_design_scores_gemma":[0.00001544258,0.00001740742,0.004346876,0.0006799073,0.00001154224,0.0001390255,0.002397736,0.0001785179,0.0007709677,0.02702291,0.964393,0.00002672424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01044026,0.005111883,0.00382824,0.02353658,0.002059085,0.0002503216,0.003116662,0.0002974151,0.9513596],"genre_scores_gemma":[0.093812,0.003238329,0.004945459,0.008467828,0.0004342409,0.0003442462,0.00181633,0.000226695,0.8867149],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05195386,"threshold_uncertainty_score":0.1316623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0330907164678208,"score_gpt":0.4042294051819005,"score_spread":0.3711386887140797,"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."}}