{"id":"W2888455839","doi":"","title":"Public organizations as anchors and quartermasters of innovation : the case of ocean science instrumentalities in Nova Scotia, Canada","year":2018,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arizona Department of Transportation","keywords":"Nova scotia; Nova (rocket); Political science; Library science; Oceanography; Engineering; Geology; Aeronautics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003184872,0.0003363145,0.0004621311,0.001913366,0.02735623,0.01416911,0.002241207,0.004115198,0.007597391],"category_scores_gemma":[0.008895509,0.0005272791,0.0005254776,0.003035408,0.01096516,0.002552444,0.007341854,0.003258934,0.0003738596],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1364918,"about_ca_system_score_gemma":0.1716807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932688,"about_ca_topic_score_gemma":0.9976399,"domain_scores_codex":[0.9902239,0.001033965,0.0001495063,0.0003587309,0.0008024305,0.007431361],"domain_scores_gemma":[0.9825247,0.00258258,0.0013684,0.0004825209,0.003129216,0.009912552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006078733,0.0004867945,0.2930024,0.0003225369,0.0001711229,0.02001594,0.2105636,0.00453996,0.001329925,0.3743509,0.05355459,0.04105439],"study_design_scores_gemma":[0.0003000333,0.0001026071,0.2210592,0.0007375593,0.0002001859,0.0009625295,0.6119714,0.002692394,0.0004473658,0.008806443,0.1525558,0.000164559],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8280191,0.001979844,0.0003952055,0.02732138,0.0001474699,0.0002075012,0.0002698892,0.00001855842,0.141641],"genre_scores_gemma":[0.9865857,0.0004399432,0.0001122919,0.000945225,0.00000977784,0.00001912758,0.00003633255,0.000004489028,0.01184715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9726438,"threshold_uncertainty_score":0.9903222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007781537053960155,"score_gpt":0.1709408047350567,"score_spread":0.1631592676810965,"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."}}