{"id":"W2492327880","doi":"10.3897/rio.2.e9995","title":"SCINDR - The SCience INtroDuction Robot that will Connect Open Scientists","year":2016,"lang":"en","type":"article","venue":"Research Ideas and Outcomes","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal","funders":"","keywords":"Computer science; Process (computing); Citizen science; Data science; Service (business); World Wide Web; Social media; Open science; Human–computer interaction","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001646897,0.001103992,0.0006419307,0.001126827,0.0007574088,0.001471892,0.00183449,0.001682201,0.05053718],"category_scores_gemma":[0.004321708,0.0004569582,0.0006500416,0.0004790428,0.000827633,0.00367327,0.002994215,0.001782777,0.02269162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008673188,"about_ca_system_score_gemma":0.001516395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813911,"about_ca_topic_score_gemma":0.001892851,"domain_scores_codex":[0.998882,0.0001953402,0.00005294458,0.0003129191,0.0004085203,0.0001482633],"domain_scores_gemma":[0.9974406,0.0007635743,0.0002330483,0.0003571993,0.0005068938,0.0006986973],"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":[0.00367385,0.0008645055,0.00825591,0.0009465388,0.0001295581,0.001136939,0.001635164,0.003884416,0.05047608,0.02436575,0.5043514,0.4002799],"study_design_scores_gemma":[0.0004302287,0.001391076,0.004328356,0.000126832,0.00006524686,0.0005101453,0.0004600224,0.03862981,0.02043433,0.007298848,0.9261599,0.0001651425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05268299,0.0008115918,0.4930999,0.004814529,0.002861788,0.00305153,0.008404462,0.3304915,0.1037816],"genre_scores_gemma":[0.2593517,0.0009966943,0.4571951,0.005411197,0.001012194,0.003153458,0.02471684,0.007980497,0.2401823],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9981655,"threshold_uncertainty_score":0.1690637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0668471853313738,"score_gpt":0.3724872537428509,"score_spread":0.3056400684114771,"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."}}