{"id":"W4313446910","doi":"10.1525/collabra.57545","title":"Ten Strategies to Foster Open Science in Psychology and Beyond","year":2022,"lang":"en","type":"article","venue":"Collabra Psychology","topic":"Research Data Management Practices","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Open science; Openness to experience; Citizen science; Open data; Best practice; Obstacle; Engineering ethics; Open research; Workflow; Public relations; Dissemination; Political science; Computer science; Psychology; Engineering; World Wide Web","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":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.110471,0.001573604,0.0006806614,0.008077621,0.01539372,0.02673445,0.003607853,0.007986004,0.004247831],"category_scores_gemma":[0.08207163,0.001337316,0.001276661,0.005050194,0.05852272,0.02758998,0.02323196,0.01022447,0.001276021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01624298,"about_ca_system_score_gemma":0.04546053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004895955,"about_ca_topic_score_gemma":0.007675591,"domain_scores_codex":[0.897201,0.07863749,0.004657312,0.004175391,0.01167207,0.003656707],"domain_scores_gemma":[0.8758336,0.07831746,0.008265342,0.01299699,0.01279674,0.01178992],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002586987,0.0002567738,0.001900646,0.0003687281,0.00002640416,0.0001366703,0.05331728,0.0002437662,0.0005603443,0.8374321,0.005053825,0.1006777],"study_design_scores_gemma":[0.00006857262,0.0001142559,0.001241714,0.001973367,0.00003174631,0.000226618,0.05941607,0.001201483,0.001596114,0.7616955,0.1723563,0.00007829857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.05331384,0.006853291,0.4175833,0.3057325,0.001245611,0.002290141,0.00007407839,0.001103327,0.2118039],"genre_scores_gemma":[0.4812773,0.003757474,0.4832756,0.01202456,0.0002034458,0.003388546,0.00006294756,0.0002409326,0.0157692],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9963921,"threshold_uncertainty_score":0.5842333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1193344933773208,"score_gpt":0.4602390211546548,"score_spread":0.340904527777334,"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."}}